From a7d488453740681e46191e40e7a215a051bb8ffd Mon Sep 17 00:00:00 2001
From: Gauarv Chaudhary <chaudharygaurav2004@gmail.com>
Date: Mon, 8 Dec 2025 15:39:32 +0530
Subject: [PATCH 1/4] update 2025-12-08 15:39:28.834598

---
 error.csv                                  |   4 +-
 index.html                                 |  91 +++++++++++----------
 meta.csv                                   |   3 +-
 repos.txt                                  |   1 +
 repos/ANAMASGARD/chip-seq-large-margin.png | Bin 0 -> 121621 bytes
 5 files changed, 55 insertions(+), 44 deletions(-)
 create mode 100644 repos/ANAMASGARD/chip-seq-large-margin.png

diff --git a/error.csv b/error.csv
index 1febafd..d85b29a 100644
--- a/error.csv
+++ b/error.csv
@@ -1,3 +1,3 @@
 add.POSIXct,viz_owner_repo,error
-2025-11-26T16:31:33.742225Z,tdhock/tdhock-figure-nnet-regression-degrees,Capture.PNG download returned 404: Not Found
-2025-11-26T16:31:33.742225Z,tdhock/animint-figure-nnet-regression-degrees,plot.json file in gh-pages branch of tdhock/animint-figure-nnet-regression-degrees should have element named title which should be string describing the data viz
+2025-12-08T10:09:28.834598Z,tdhock/tdhock-figure-nnet-regression-degrees,Capture.PNG download returned 404: Not Found
+2025-12-08T10:09:28.834598Z,tdhock/animint-figure-nnet-regression-degrees,plot.json file in gh-pages branch of tdhock/animint-figure-nnet-regression-degrees should have element named title which should be string describing the data viz
diff --git a/index.html b/index.html
index 5415e27..2c8013e 100644
--- a/index.html
+++ b/index.html
@@ -293,7 +293,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/tdhock/Animated2GradCAM-COVID19-Chest-X-ray-ViT-V3-140px-609Case/tree/gh-pages">repo</a>
 <a href="https://github.com/TyBruceChen/Animinted2GradCAM?tab=readme-ov-file">source</a></td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td
 align="left"><a href="https://tdhock.github.io/Animated2GradCAM-COVID19-Chest-X-ray-ViT-V2-200px-696Case/"><img src="repos/tdhock/Animated2GradCAM-COVID19-Chest-X-ray-ViT-V2-200px-696Case.png" alt="tdhock/Animated2GradCAM-COVID19-Chest-X-ray-ViT-V2-200px-696Case" /></a></td>
 <td align="left">Classifying Covid19 chest X-ray images</td>
@@ -301,7 +301,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/tdhock/Animated2GradCAM-COVID19-Chest-X-ray-ViT-V2-200px-696Case/tree/gh-pages">repo</a>
 <a href="https://github.com/TyBruceChen/Research-A-Fined-Tuned-ViT-for-COVID-19-Image-Auxiliary-Diagnosing">source</a></td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td
 align="left"><a href="https://tdhock.github.io/2023-12-27-train-sizes-classification/"><img src="repos/tdhock/2023-12-27-train-sizes-classification.png" alt="tdhock/2023-12-27-train-sizes-classification" /></a></td>
 <td align="left">Variable size train sets, classification</td>
@@ -310,7 +310,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 <a href="https://github.com/tdhock/mlr3resampling/blob/main/vignettes/Older_resamplers.Rmd">source</a>
 <a href="https://vimeo.com/1053477025">video</a></td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td
 align="left"><a href="https://ANAMASGARD.github.io/2023-12-26-train-sizes-regression/"><img src="repos/ANAMASGARD/2023-12-26-train-sizes-regression.png" alt="ANAMASGARD/2023-12-26-train-sizes-regression" /></a></td>
 <td align="left">Variable size train set, regression</td>
@@ -319,7 +319,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 <a href="https://github.com/tdhock/mlr3resampling/blob/main/vignettes/Older_resamplers.Rmd">source</a>
 <a href="https://vimeo.com/1053467310">video</a></td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td
 align="left"><a href="https://ANAMASGARD.github.io/2023-12-13-train-predict-subsets-classification/"><img src="repos/ANAMASGARD/2023-12-13-train-predict-subsets-classification.png" alt="ANAMASGARD/2023-12-13-train-predict-subsets-classification" /></a></td>
 <td align="left">SOAK algorithm: train/predict on subsets,
@@ -329,7 +329,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 <a href="https://github.com/tdhock/mlr3resampling/blob/main/vignettes/Older_resamplers.Rmd">source</a>
 <a href="https://vimeo.com/1053464329">video</a></td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td
 align="left"><a href="https://tdhock.github.io/2023-12-13-train-predict-subsets-regression/"><img src="repos/tdhock/2023-12-13-train-predict-subsets-regression.png" alt="tdhock/2023-12-13-train-predict-subsets-regression" /></a></td>
 <td align="left">SOAK algorithm: train/predict on subsets,
@@ -339,7 +339,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 <a href="https://github.com/tdhock/mlr3resampling/blob/main/vignettes/Older_resamplers.Rmd">source</a>
 <a href="https://vimeo.com/1053413000">video</a></td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td
 align="left"><a href="https://tdhock.github.io/2025-09-22-degree-neighbors-table/"><img src="repos/tdhock/2025-09-22-degree-neighbors-table.png" alt="tdhock/2025-09-22-degree-neighbors-table" /></a></td>
 <td align="left">Overfitting using linear model polynomial degree and
@@ -348,7 +348,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/tdhock/2025-09-22-degree-neighbors-table/tree/gh-pages">repo</a>
 <a href="https://github.com/tdhock/cs499-spring2020/blob/master/2020-02-03-capacity/figure-polynomial-neighbors-table-interactive.R">source</a></td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td
 align="left"><a href="https://tdhock.github.io/2023-12-04-degree-neighbors/"><img src="repos/tdhock/2023-12-04-degree-neighbors.png" alt="tdhock/2023-12-04-degree-neighbors" /></a></td>
 <td align="left">Overfitting using linear model polynomial degree and
@@ -357,7 +357,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/tdhock/2023-12-04-degree-neighbors/tree/gh-pages">repo</a>
 <a href="https://github.com/tdhock/cs499-spring2020/blob/master/2020-02-03-capacity/figure-polynomial-neighbors-interactive.R">source</a></td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td
 align="left"><a href="https://tdhock.github.io/2023-12-04-capacity-polynomial-degree-several-patterns/"><img src="repos/tdhock/2023-12-04-capacity-polynomial-degree-several-patterns.png" alt="tdhock/2023-12-04-capacity-polynomial-degree-several-patterns" /></a></td>
 <td align="left">Overfitting using linear model polynomial degree,
@@ -366,7 +366,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/tdhock/2023-12-04-capacity-polynomial-degree-several-patterns/tree/gh-pages">repo</a>
 <a href="https://github.com/tdhock/cs499-spring2020/blob/master/2020-02-03-capacity/figure-several-interactive.R">source</a></td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td
 align="left"><a href="https://tdhock.github.io/2020-02-03-capacity-polynomial-degree/"><img src="repos/tdhock/2020-02-03-capacity-polynomial-degree.png" alt="tdhock/2020-02-03-capacity-polynomial-degree" /></a></td>
 <td align="left">Overfitting using linear model polynomial degree</td>
@@ -375,7 +375,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 <a href="https://github.com/tdhock/cs499-spring2020/blob/master/2020-02-03-capacity/figure-quadratic-interactive.R">source</a>
 <a href="https://vimeo.com/1127992420">video</a></td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td
 align="left"><a href="https://tdhock.github.io/2023-11-21-auc-improved/"><img src="repos/tdhock/2023-11-21-auc-improved.png" alt="tdhock/2023-11-21-auc-improved" /></a></td>
 <td align="left">Initial/optimized AUM/AUC for change-point
@@ -384,7 +384,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/tdhock/2023-11-21-auc-improved/tree/gh-pages">repo</a>
 <a href="https://github.com/tdhock/max-generalized-auc/blob/master/figure-auc-improved-interactive.R">source</a></td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td
 align="left"><a href="https://tdhock.github.io/2020-02-13-variable-importance-Sugar-Maple/"><img src="repos/tdhock/2020-02-13-variable-importance-Sugar-Maple.png" alt="tdhock/2020-02-13-variable-importance-Sugar-Maple" /></a></td>
 <td align="left">Sugar Maple accuracy and variable selection</td>
@@ -392,7 +392,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/tdhock/2020-02-13-variable-importance-Sugar-Maple/tree/gh-pages">repo</a>
 <a href="https://github.com/tdhock/species-variable-selection/blob/master/figure-batchtools-expired-earth.R">source</a></td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td
 align="left"><a href="https://tdhock.github.io/2020-02-13-variable-importance-Table-Mountain-Pine/"><img src="repos/tdhock/2020-02-13-variable-importance-Table-Mountain-Pine.png" alt="tdhock/2020-02-13-variable-importance-Table-Mountain-Pine" /></a></td>
 <td align="left">Table Mountain Pine accuracy and variable
@@ -401,7 +401,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/tdhock/2020-02-13-variable-importance-Table-Mountain-Pine/tree/gh-pages">repo</a>
 <a href="https://github.com/tdhock/species-variable-selection/blob/master/figure-batchtools-expired-earth.R">source</a></td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td
 align="left"><a href="https://tdhock.github.io/2020-02-13-roc-vs-error-Sugar-Maple/"><img src="repos/tdhock/2020-02-13-roc-vs-error-Sugar-Maple.png" alt="tdhock/2020-02-13-roc-vs-error-Sugar-Maple" /></a></td>
 <td align="left">Sugar Maple ROC curves and error/accuracy metrics</td>
@@ -409,7 +409,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/tdhock/2020-02-13-roc-vs-error-Sugar-Maple/tree/gh-pages">repo</a>
 <a href="https://github.com/tdhock/species-variable-selection/blob/master/figure-batchtools-expired-earth.R">source</a></td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td
 align="left"><a href="https://tdhock.github.io/2020-02-13-roc-vs-error-Table-Mountain-Pine/"><img src="repos/tdhock/2020-02-13-roc-vs-error-Table-Mountain-Pine.png" alt="tdhock/2020-02-13-roc-vs-error-Table-Mountain-Pine" /></a></td>
 <td align="left">Table Mountain Pine ROC curves and error/accuracy
@@ -418,7 +418,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/tdhock/2020-02-13-roc-vs-error-Table-Mountain-Pine/tree/gh-pages">repo</a>
 <a href="https://github.com/tdhock/species-variable-selection/blob/master/figure-batchtools-expired-earth.R">source</a></td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td
 align="left"><a href="https://tdhock.github.io/2019-02-14-L2-regularization/"><img src="repos/tdhock/2019-02-14-L2-regularization.png" alt="tdhock/2019-02-14-L2-regularization" /></a></td>
 <td align="left">L2-regularized (Ridge) least squares linear
@@ -427,7 +427,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/tdhock/2019-02-14-L2-regularization/tree/gh-pages">repo</a>
 <a href="https://github.com/tdhock/cs499-spring2019/blob/master/2019-02-14-L2-regularization/viz.R">source</a></td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td
 align="left"><a href="https://tdhock.github.io/2019-02-05-linear-regression-1d-grad-desc-ozone-steps/"><img src="repos/tdhock/2019-02-05-linear-regression-1d-grad-desc-ozone-steps.png" alt="tdhock/2019-02-05-linear-regression-1d-grad-desc-ozone-steps" /></a></td>
 <td align="left">Gradient descent with several step sizes for 1d linear
@@ -436,7 +436,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/tdhock/2019-02-05-linear-regression-1d-grad-desc-ozone-steps/tree/gh-pages">repo</a>
 <a href="https://github.com/tdhock/cs499-spring2019/blob/master/2019-02-05-linear-regression/viz.step.size.R">source</a></td>
 </tr>
-<tr class="even">
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 <td
 align="left"><a href="https://tdhock.github.io/2019-02-05-linear-regression-1d-grad-desc-ozone/"><img src="repos/tdhock/2019-02-05-linear-regression-1d-grad-desc-ozone.png" alt="tdhock/2019-02-05-linear-regression-1d-grad-desc-ozone" /></a></td>
 <td align="left">Gradient descent for 1d linear regression in ozone
@@ -445,7 +445,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/tdhock/2019-02-05-linear-regression-1d-grad-desc-ozone/tree/gh-pages">repo</a>
 <a href="https://github.com/tdhock/cs499-spring2019/blob/master/2019-02-05-linear-regression/viz.R">source</a></td>
 </tr>
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+<tr class="even">
 <td
 align="left"><a href="https://tdhock.github.io/2019-01-nearest-neighbor-regression-one-split/"><img src="repos/tdhock/2019-01-nearest-neighbor-regression-one-split.png" alt="tdhock/2019-01-nearest-neighbor-regression-one-split" /></a></td>
 <td align="left">Nearest neighbors algorithm for regression</td>
@@ -453,7 +453,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/tdhock/2019-01-nearest-neighbor-regression-one-split/tree/gh-pages">repo</a>
 <a href="https://github.com/tdhock/cs499-spring2019/blob/master/2019-01-17-nearest-neighbors/viz.R">source</a></td>
 </tr>
-<tr class="even">
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 <td
 align="left"><a href="https://tdhock.github.io/2023-01-regression-2d/"><img src="repos/tdhock/2023-01-regression-2d.png" alt="tdhock/2023-01-regression-2d" /></a></td>
 <td align="left">Nearest neighbors for regression with 2D inputs</td>
@@ -461,7 +461,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/tdhock/2023-01-regression-2d/tree/gh-pages">repo</a>
 <a href="https://github.com/tdhock/cs499-spring2019/blob/master/2019-01-17-nearest-neighbors/viz-ozone-test.R">source</a></td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td
 align="left"><a href="https://tdhock.github.io/2019-01-nearest-neighbors-classification-1d/"><img src="repos/tdhock/2019-01-nearest-neighbors-classification-1d.png" alt="tdhock/2019-01-nearest-neighbors-classification-1d" /></a></td>
 <td align="left">Nearest neighbors algorithm for classification</td>
@@ -469,7 +469,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/tdhock/2019-01-nearest-neighbors-classification-1d/tree/gh-pages">repo</a>
 <a href="https://github.com/tdhock/cs499-spring2019/blob/master/2019-01-17-nearest-neighbors/viz-class-1d.R">source</a></td>
 </tr>
-<tr class="even">
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 <td
 align="left"><a href="https://tdhock.github.io/2019-01-nearest-neighbors-cross-validation/"><img src="repos/tdhock/2019-01-nearest-neighbors-cross-validation.png" alt="tdhock/2019-01-nearest-neighbors-cross-validation" /></a></td>
 <td align="left">4 fold cross-validation</td>
@@ -477,7 +477,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/tdhock/2019-01-nearest-neighbors-cross-validation/tree/gh-pages">repo</a>
 <a href="https://github.com/tdhock/cs499-spring2019/blob/master/2019-01-17-nearest-neighbors/viz-4folds.R">source</a></td>
 </tr>
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 <td
 align="left"><a href="https://tdhock.github.io/2023-11-interval-regression-differences/"><img src="repos/tdhock/2023-11-interval-regression-differences.png" alt="tdhock/2023-11-interval-regression-differences" /></a></td>
 <td align="left">AIC/BIC change-point detection comparison using ROC
@@ -486,7 +486,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/tdhock/2023-11-interval-regression-differences/tree/gh-pages">repo</a>
 <a href="https://github.com/tdhock/change-tutorial/blob/master/figure-differences-interactive.R">source</a></td>
 </tr>
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 <td
 align="left"><a href="https://tdhock.github.io/necromass-figure-one-network/"><img src="repos/tdhock/necromass-figure-one-network.png" alt="tdhock/necromass-figure-one-network" /></a></td>
 <td align="left">bacteria_fungi_conservative visualization</td>
@@ -494,7 +494,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/tdhock/necromass-figure-one-network/tree/gh-pages">repo</a>
 <a href="https://github.com/tdhock/necromass/blob/main/figure-one-network.R">source</a></td>
 </tr>
-<tr class="odd">
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 <td
 align="left"><a href="https://EngineerDanny.github.io/EngineerDanny-necromass-figure-one-network/"><img src="repos/EngineerDanny/EngineerDanny-necromass-figure-one-network.png" alt="EngineerDanny/EngineerDanny-necromass-figure-one-network" /></a></td>
 <td align="left">bacteria_fungi_conservative visualization</td>
@@ -502,7 +502,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/EngineerDanny/EngineerDanny-necromass-figure-one-network/tree/gh-pages">repo</a>
 <a href="https://github.com/tdhock/necromass/blob/main/figure-one-network.Rmd">source</a></td>
 </tr>
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 <td
 align="left"><a href="https://ANAMASGARD.github.io/breakpoints/"><img src="repos/ANAMASGARD/breakpoints.png" alt="ANAMASGARD/breakpoints" /></a></td>
 <td align="left">breakpoints select multiple segmentation models</td>
@@ -510,7 +510,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/ANAMASGARD/breakpoints/tree/gh-pages">repo</a>
 <a href="https://github.com/ANAMASGARD/breakpoints-viz-code/blob/main/breakpoints.R">source</a></td>
 </tr>
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+<tr class="even">
 <td
 align="left"><a href="https://suhaani-agarwal.github.io/tornado-visualization/"><img src="repos/suhaani-agarwal/tornado-visualization.png" alt="suhaani-agarwal/tornado-visualization" /></a></td>
 <td align="left">US Tornado Visualization</td>
@@ -519,7 +519,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 <a href="https://github.com/suhaani-agarwal/animint-paper/blob/master/examples/tornado/viz.R">source</a>
 <a href="https://vimeo.com/1072120042/29ea7f22a6">video</a></td>
 </tr>
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 <td
 align="left"><a href="https://suhaani-agarwal.github.io/central-american-temperature-maps/"><img src="repos/suhaani-agarwal/central-american-temperature-maps.png" alt="suhaani-agarwal/central-american-temperature-maps" /></a></td>
 <td align="left">Central American Temperature Maps</td>
@@ -528,7 +528,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 <a href="http://github.com/suhaani-agarwal/animint-paper/blob/master/examples/climate/viz.R">source</a>
 <a href="https://vimeo.com/1087209965">video</a></td>
 </tr>
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+<tr class="even">
 <td
 align="left"><a href="https://suhaani-agarwal.github.io/WorldBank-paper/"><img src="repos/suhaani-agarwal/WorldBank-paper.png" alt="suhaani-agarwal/WorldBank-paper" /></a></td>
 <td align="left">World Bank data viz for Animint paper</td>
@@ -537,7 +537,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 <a href="https://github.com/suhaani-agarwal/animint/blob/master/inst/examples/WorldBank-paper.R">source</a>
 <a href="https://vimeo.com/1087206179">video</a></td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td
 align="left"><a href="https://suhaani-agarwal.github.io/chip-seq-unaligned/"><img src="repos/suhaani-agarwal/chip-seq-unaligned.png" alt="suhaani-agarwal/chip-seq-unaligned" /></a></td>
 <td align="left">ChIP-seq Unaligned</td>
@@ -546,7 +546,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 <a href="https://github.com/suhaani-agarwal/animint-examples/blob/master/examples/chip.seq_unaligned.R">source</a>
 <a href="https://vimeo.com/1087397034">video</a></td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td
 align="left"><a href="https://suhaani-agarwal.github.io/montreal-bikes-Jan2016/"><img src="repos/suhaani-agarwal/montreal-bikes-Jan2016.png" alt="suhaani-agarwal/montreal-bikes-Jan2016" /></a></td>
 <td align="left">Montreal cyclists and accidents, 2009-2014</td>
@@ -555,7 +555,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 <a href="https://github.com/suhaani-agarwal/montreal-velos/blob/master/figure-timeseries.R">source</a>
 <a href="https://vimeo.com/1094315611">video</a></td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td
 align="left"><a href="https://suhaani-agarwal.github.io/Demo_Constrained_PDPA/"><img src="repos/suhaani-agarwal/Demo_Constrained_PDPA.png" alt="suhaani-agarwal/Demo_Constrained_PDPA" /></a></td>
 <td align="left">Demo of Constrained Pruned Dynamic Programming
@@ -564,7 +564,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/suhaani-agarwal/Demo_Constrained_PDPA/tree/gh-pages">repo</a>
 <a href="https://github.com/suhaani-agarwal/PeakSegFPOP-paper/blob/master/figure-constrained-PDPA-normal-real.R">source</a></td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td
 align="left"><a href="https://suhaani-agarwal.github.io/figure-penaltyLearning/"><img src="repos/suhaani-agarwal/figure-penaltyLearning.png" alt="suhaani-agarwal/figure-penaltyLearning" /></a></td>
 <td align="left">Cost/slack minimization over all feature thresholds,
@@ -573,7 +573,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/suhaani-agarwal/figure-penaltyLearning/tree/gh-pages">repo</a>
 <a href="https://github.com/suhaani-agarwal/mmit-paper/blob/master/figure-penaltyLearning.R">source</a></td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td
 align="left"><a href="https://suhaani-agarwal.github.io/intreg-BIC/"><img src="repos/suhaani-agarwal/intreg-BIC.png" alt="suhaani-agarwal/intreg-BIC" /></a></td>
 <td align="left">Segmentation model selection with BIC</td>
@@ -581,7 +581,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/suhaani-agarwal/intreg-BIC/tree/gh-pages">repo</a>
 <a href="https://github.com/suhaani-agarwal/animint/blob/master/inst/examples/intreg_BIC.R">source</a></td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td
 align="left"><a href="https://suhaani-agarwal.github.io/Ch18-neural-networks-sim/"><img src="repos/suhaani-agarwal/Ch18-neural-networks-sim.png" alt="suhaani-agarwal/Ch18-neural-networks-sim" /></a></td>
 <td align="left">Gradient descent for neural network and linear
@@ -590,7 +590,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/suhaani-agarwal/Ch18-neural-networks-sim/tree/gh-pages">repo</a>
 <a href="https://github.com/suhaani-agarwal/animint-book/blob/master/Ch18-neural-networks-sim.R">source</a></td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td
 align="left"><a href="https://suhaani-agarwal.github.io/figure-gradient-descent-regression/"><img src="repos/suhaani-agarwal/figure-gradient-descent-regression.png" alt="suhaani-agarwal/figure-gradient-descent-regression" /></a></td>
 <td align="left">Gradient descent for regression</td>
@@ -598,7 +598,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/suhaani-agarwal/figure-gradient-descent-regression/tree/gh-pages">repo</a>
 <a href="https://github.com/suhaani-agarwal/cs570-spring-2022/blob/master/figure-gradient-descent-regression.R">source</a></td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td
 align="left"><a href="https://biplab-sutradhar.github.io/climate-change-sensor-stations/"><img src="repos/biplab-sutradhar/climate-change-sensor-stations.png" alt="biplab-sutradhar/climate-change-sensor-stations" /></a></td>
 <td align="left">Climate change sensor stations</td>
@@ -606,7 +606,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/biplab-sutradhar/climate-change-sensor-stations/tree/gh-pages">repo</a>
 <a href="https://github.com/biplab-sutradhar/climate-change-sensor-stations/blob/gh-pages/figure-stations.R">source</a></td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td
 align="left"><a href="https://tdhock.github.io/2025-08-29-LOPART-candidates-grid/"><img src="repos/tdhock/2025-08-29-LOPART-candidates-grid.png" alt="tdhock/2025-08-29-LOPART-candidates-grid" /></a></td>
 <td align="left">Labeled optimal partitioning (LOPART) algorithm for
@@ -615,7 +615,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/tdhock/2025-08-29-LOPART-candidates-grid/tree/gh-pages">repo</a>
 <a href="https://github.com/tdhock/LOPART-paper/blob/master/figure-candidates-interactive.R">source</a></td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td
 align="left"><a href="https://biplab-sutradhar.github.io/Data-viz-with-206-selectors/"><img src="repos/biplab-sutradhar/Data-viz-with-206-selectors.png" alt="biplab-sutradhar/Data-viz-with-206-selectors" /></a></td>
 <td align="left">Animint compiler with for loops</td>
@@ -623,7 +623,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/biplab-sutradhar/Data-viz-with-206-selectors/tree/gh-pages">repo</a>
 <a href="https://github.com/biplab-sutradhar/Data-viz-with-206-selectors/blob/gh-pages/PSJ.R">source</a></td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td
 align="left"><a href="https://suhaani-agarwal.github.io/ROC-curve-alignment/"><img src="repos/suhaani-agarwal/ROC-curve-alignment.png" alt="suhaani-agarwal/ROC-curve-alignment" /></a></td>
 <td align="left">Changepoint detection ROC curve alignment problem</td>
@@ -631,7 +631,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/suhaani-agarwal/ROC-curve-alignment/tree/gh-pages">repo</a>
 <a href="https://github.com/suhaani-agarwal/max-generalized-auc/blob/master/figure-curveAlignment.R">source</a></td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td
 align="left"><a href="https://suhaani-agarwal.github.io/figure-loss-small-data/"><img src="repos/suhaani-agarwal/figure-loss-small-data.png" alt="suhaani-agarwal/figure-loss-small-data" /></a></td>
 <td align="left">Changepoint model selection</td>
@@ -639,7 +639,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/suhaani-agarwal/figure-loss-small-data/tree/gh-pages">repo</a>
 <a href="https://github.com/tdhock/changepoint-data-structure/blob/master/figure-loss-small-data.R">source</a></td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td
 align="left"><a href="https://ANAMASGARD.github.io/dna-copy-number-large-margin/"><img src="repos/ANAMASGARD/dna-copy-number-large-margin.png" alt="ANAMASGARD/dna-copy-number-large-margin" /></a></td>
 <td align="left">Max-margin interval regression for supervised
@@ -648,6 +648,15 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 align="left"><a href="https://github.com/ANAMASGARD/dna-copy-number-large-margin/tree/gh-pages">repo</a>
 <a href="https://github.com/ANAMASGARD/dna-copy-number-viz-code/blob/main/intreg.R">source</a></td>
 </tr>
+<tr class="even">
+<td
+align="left"><a href="https://ANAMASGARD.github.io/chip-seq-large-margin/"><img src="repos/ANAMASGARD/chip-seq-large-margin.png" alt="ANAMASGARD/chip-seq-large-margin" /></a></td>
+<td align="left">Max-margin supervised penalty learning for peak
+detection in ChIP-seq data</td>
+<td
+align="left"><a href="https://github.com/ANAMASGARD/chip-seq-large-margin/tree/gh-pages">repo</a>
+<a href="https://github.com/ANAMASGARD/chip-seq-large-margin-code/blob/main/chip-seq-large-margin.R">source</a></td>
+</tr>
 </tbody>
 </table>
 <p><a href="meta.csv">Download this table: meta.csv</a></p>
diff --git a/meta.csv b/meta.csv
index 9167d24..d7f3bc3 100644
--- a/meta.csv
+++ b/meta.csv
@@ -51,4 +51,5 @@ add.POSIXct,viz_owner_repo,video,source,title
 2025-08-26T07:19:01.288519Z,biplab-sutradhar/Data-viz-with-206-selectors,"",https://github.com/biplab-sutradhar/Data-viz-with-206-selectors/blob/gh-pages/PSJ.R,Animint compiler with for loops
 2025-06-18T08:46:23.746985Z,suhaani-agarwal/ROC-curve-alignment,"",https://github.com/suhaani-agarwal/max-generalized-auc/blob/master/figure-curveAlignment.R,Changepoint detection ROC curve alignment problem
 2025-08-25T13:41:41.008040Z,suhaani-agarwal/figure-loss-small-data,"",https://github.com/tdhock/changepoint-data-structure/blob/master/figure-loss-small-data.R,Changepoint model selection
-2025-11-15T15:24:19.490278Z,ANAMASGARD/dna-copy-number-large-margin,"",https://github.com/ANAMASGARD/dna-copy-number-viz-code/blob/main/intreg.R,Max-margin interval regression for supervised segmentation model selection
\ No newline at end of file
+2025-11-15T15:24:19.490278Z,ANAMASGARD/dna-copy-number-large-margin,"",https://github.com/ANAMASGARD/dna-copy-number-viz-code/blob/main/intreg.R,Max-margin interval regression for supervised segmentation model selection
+2025-12-08T10:09:28.834598Z,ANAMASGARD/chip-seq-large-margin,,https://github.com/ANAMASGARD/chip-seq-large-margin-code/blob/main/chip-seq-large-margin.R,Max-margin supervised penalty learning for peak detection in ChIP-seq data
diff --git a/repos.txt b/repos.txt
index 2e51a42..ead2e75 100644
--- a/repos.txt
+++ b/repos.txt
@@ -53,3 +53,4 @@ biplab-sutradhar/Data-viz-with-206-selectors
 suhaani-agarwal/ROC-curve-alignment
 suhaani-agarwal/figure-loss-small-data
 ANAMASGARD/dna-copy-number-large-margin
+ANAMASGARD/chip-seq-large-margin
diff --git a/repos/ANAMASGARD/chip-seq-large-margin.png b/repos/ANAMASGARD/chip-seq-large-margin.png
new file mode 100644
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literal 0
HcmV?d00001


From 8336b1781ec477e78a09adb698c64411b73a23c3 Mon Sep 17 00:00:00 2001
From: Gauarv Chaudhary <chaudharygaurav2004@gmail.com>
Date: Fri, 19 Dec 2025 15:47:34 +0530
Subject: [PATCH 2/4] update 2025-12-19 15:47:32.761824

---
 error.csv | 4 ++--
 meta.csv  | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/error.csv b/error.csv
index d85b29a..e23ad38 100644
--- a/error.csv
+++ b/error.csv
@@ -1,3 +1,3 @@
 add.POSIXct,viz_owner_repo,error
-2025-12-08T10:09:28.834598Z,tdhock/tdhock-figure-nnet-regression-degrees,Capture.PNG download returned 404: Not Found
-2025-12-08T10:09:28.834598Z,tdhock/animint-figure-nnet-regression-degrees,plot.json file in gh-pages branch of tdhock/animint-figure-nnet-regression-degrees should have element named title which should be string describing the data viz
+2025-12-19T10:17:32.761824Z,tdhock/tdhock-figure-nnet-regression-degrees,Capture.PNG download returned 404: Not Found
+2025-12-19T10:17:32.761824Z,tdhock/animint-figure-nnet-regression-degrees,plot.json file in gh-pages branch of tdhock/animint-figure-nnet-regression-degrees should have element named title which should be string describing the data viz
diff --git a/meta.csv b/meta.csv
index d7f3bc3..37f8df7 100644
--- a/meta.csv
+++ b/meta.csv
@@ -52,4 +52,4 @@ add.POSIXct,viz_owner_repo,video,source,title
 2025-06-18T08:46:23.746985Z,suhaani-agarwal/ROC-curve-alignment,"",https://github.com/suhaani-agarwal/max-generalized-auc/blob/master/figure-curveAlignment.R,Changepoint detection ROC curve alignment problem
 2025-08-25T13:41:41.008040Z,suhaani-agarwal/figure-loss-small-data,"",https://github.com/tdhock/changepoint-data-structure/blob/master/figure-loss-small-data.R,Changepoint model selection
 2025-11-15T15:24:19.490278Z,ANAMASGARD/dna-copy-number-large-margin,"",https://github.com/ANAMASGARD/dna-copy-number-viz-code/blob/main/intreg.R,Max-margin interval regression for supervised segmentation model selection
-2025-12-08T10:09:28.834598Z,ANAMASGARD/chip-seq-large-margin,,https://github.com/ANAMASGARD/chip-seq-large-margin-code/blob/main/chip-seq-large-margin.R,Max-margin supervised penalty learning for peak detection in ChIP-seq data
+2025-12-08T10:09:28.834598Z,ANAMASGARD/chip-seq-large-margin,"",https://github.com/ANAMASGARD/chip-seq-large-margin-code/blob/main/chip-seq-large-margin.R,Max-margin supervised penalty learning for peak detection in ChIP-seq data

From 34c98f7f04c4d251e2010329a7e809eb4300cf04 Mon Sep 17 00:00:00 2001
From: Gauarv Chaudhary <chaudharygaurav2004@gmail.com>
Date: Fri, 19 Dec 2025 15:50:45 +0530
Subject: [PATCH 3/4] update 2025-12-19 15:50:16.493868

---
 error.csv  |   4 +-
 index.html |   8 ++--
 meta.csv   | 108 ++++++++++++++++++++++++++---------------------------
 3 files changed, 60 insertions(+), 60 deletions(-)

diff --git a/error.csv b/error.csv
index e23ad38..2921208 100644
--- a/error.csv
+++ b/error.csv
@@ -1,3 +1,3 @@
 add.POSIXct,viz_owner_repo,error
-2025-12-19T10:17:32.761824Z,tdhock/tdhock-figure-nnet-regression-degrees,Capture.PNG download returned 404: Not Found
-2025-12-19T10:17:32.761824Z,tdhock/animint-figure-nnet-regression-degrees,plot.json file in gh-pages branch of tdhock/animint-figure-nnet-regression-degrees should have element named title which should be string describing the data viz
+2025-12-19T10:20:16.493868Z,tdhock/tdhock-figure-nnet-regression-degrees,Capture.PNG download returned 404: Not Found
+2025-12-19T10:20:16.493868Z,tdhock/animint-figure-nnet-regression-degrees,plot.json file in gh-pages branch of tdhock/animint-figure-nnet-regression-degrees should have element named title which should be string describing the data viz
diff --git a/index.html b/index.html
index 2c8013e..dc4ee46 100644
--- a/index.html
+++ b/index.html
@@ -204,7 +204,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 <tr class="odd">
 <td
 align="left"><a href="https://tdhock.github.io/2025-01-WorldBank-facets-map/"><img src="repos/tdhock/2025-01-WorldBank-facets-map.png" alt="tdhock/2025-01-WorldBank-facets-map" /></a></td>
-<td align="left">World Bank data (multiple selection, facets)</td>
+<td align="left">World Bank data (multiple selection, facets, map)</td>
 <td
 align="left"><a href="https://github.com/tdhock/2025-01-WorldBank-facets-map/tree/gh-pages">repo</a>
 <a href="https://github.com/animint/animint2/blob/master/inst/examples/WorldBank-facets-map.R">source</a>
@@ -513,7 +513,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 <tr class="even">
 <td
 align="left"><a href="https://suhaani-agarwal.github.io/tornado-visualization/"><img src="repos/suhaani-agarwal/tornado-visualization.png" alt="suhaani-agarwal/tornado-visualization" /></a></td>
-<td align="left">US Tornado Visualization</td>
+<td align="left">Tornadoes in the United States</td>
 <td
 align="left"><a href="https://github.com/suhaani-agarwal/tornado-visualization/tree/gh-pages">repo</a>
 <a href="https://github.com/suhaani-agarwal/animint-paper/blob/master/examples/tornado/viz.R">source</a>
@@ -601,10 +601,10 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 <tr class="even">
 <td
 align="left"><a href="https://biplab-sutradhar.github.io/climate-change-sensor-stations/"><img src="repos/biplab-sutradhar/climate-change-sensor-stations.png" alt="biplab-sutradhar/climate-change-sensor-stations" /></a></td>
-<td align="left">Climate change sensor stations</td>
+<td align="left">CRUTEM4 Temperature Sensor Stations</td>
 <td
 align="left"><a href="https://github.com/biplab-sutradhar/climate-change-sensor-stations/tree/gh-pages">repo</a>
-<a href="https://github.com/biplab-sutradhar/climate-change-sensor-stations/blob/gh-pages/figure-stations.R">source</a></td>
+<a href="https://github.com/biplab-sutradhar/climate-change-sensor-stations/blob/main/figure-stations.R">source</a></td>
 </tr>
 <tr class="odd">
 <td
diff --git a/meta.csv b/meta.csv
index 37f8df7..4d60447 100644
--- a/meta.csv
+++ b/meta.csv
@@ -1,55 +1,55 @@
 add.POSIXct,viz_owner_repo,video,source,title
-2025-10-16T13:57:09.713788Z,tdhock/2025-10-09-HiC-pixels-chr1-zoom-tiles-clusters,https://vimeo.com/1127879183,https://github.com/tdhock/hicream-viz/blob/main/data-2025-10-09/figure-pixels-chr1-zoom-tiles-clusters.R,Hi-C pixels chr1 clusters zoom using tiles
-2025-01-27T08:29:55.296537Z,tdhock/2025-01-19-bike-rides-around-paris-2009,https://vimeo.com/1048533960,https://github.com/animint/animint2/blob/master/inst/examples/gps.R,Map and time series of Toby Hocking's Bike Rides in 2009
-2025-01-24T17:44:50.962430Z,tdhock/2025-01-WorldBank-facets-map,https://vimeo.com/1050117030,https://github.com/animint/animint2/blob/master/inst/examples/WorldBank-facets-map.R,"World Bank data (multiple selection, facets)"
-2025-01-29T09:46:25.754393Z,tdhock/2024-11-27-decision-tree-spam,https://vimeo.com/1051463402,https://github.com/tdhock/2023-08-unsupervised-learning/blob/main/slides/20-decision-tree-spam.R,Cross-validation for Breiman's CART algorithm on SPAM data
-2025-01-27T08:29:55.296537Z,tdhock/2024-11-23-greedy-decision-tree,https://vimeo.com/1048533733,https://github.com/tdhock/2023-08-unsupervised-learning/blob/main/slides/20-decision-trees.R,Greedy decision tree learning algorithm for binary classification (Breiman's CART)
-2025-01-29T10:31:04.128089Z,tdhock/2024-09-16-K-fold-CV-train-sizes-regression,https://vimeo.com/1051473773,https://github.com/tdhock/2024-08-ift603-712/blob/main/cv-noise-samples.R,Samples required to learn non-trivial regression model
-2025-01-29T14:40:05.624552Z,tdhock/2024-08-bic-learned-details,https://vimeo.com/1051547245,https://github.com/tdhock/change-tutorial/blob/master/figure-regression-interactive-some.R,BIC versus learned penalty in neuroblastoma data
-2025-02-01T10:23:34.982420Z,tdhock/2025-02-01-error-predict-qsip,https://vimeo.com/1052541453,https://github.com/tdhock/necromass/blob/main/data-qsip-jeff/figure-scatter/figure-scatter-interactive.R,Accuracy of predicting qSIP data
-2025-02-01T17:03:21.246194Z,tdhock/2024-07-04-HMM-angular-data,https://vimeo.com/1052600378,https://github.com/tdhock/angular-change-paper/blob/main/figure-2d-hmm-real-interactive.R,Hidden Markov Model for 2d angular data
-2025-02-02T20:43:23.348732Z,tdhock/2024-06-26-neuroblastomaProcessed-combinations,https://vimeo.com/1052818937,https://github.com/tdhock/max-generalized-auc/blob/master/figure-neuroblastomaProcessed-combinations-interactive.R,Generalized ROC curve metrics
-2025-02-03T18:56:21.681298Z,tdhock/2025-02-03-aum-convexity,https://vimeo.com/1053132517,https://github.com/tdhock/max-generalized-auc/blob/master/figure-aum-convexity-interactive.R,Simple non-monotonic ROC curve
-2025-01-21T10:53:52.485204Z,tdhock/Animated2GradCAM-COVID19-Chest-X-ray-ViT-V3-140px-609Case,"",https://github.com/TyBruceChen/Animinted2GradCAM?tab=readme-ov-file,"Classifying chest X-rays, plot confidence"
-2025-01-21T10:53:52.485204Z,tdhock/Animated2GradCAM-COVID19-Chest-X-ray-ViT-V2-200px-696Case,"",https://github.com/TyBruceChen/Research-A-Fined-Tuned-ViT-for-COVID-19-Image-Auxiliary-Diagnosing,Classifying Covid19 chest X-ray images
-2025-02-04T18:23:39.127865Z,tdhock/2023-12-27-train-sizes-classification,https://vimeo.com/1053477025,https://github.com/tdhock/mlr3resampling/blob/main/vignettes/Older_resamplers.Rmd,"Variable size train sets, classification"
-2025-11-12T16:07:25.037661Z,ANAMASGARD/2023-12-26-train-sizes-regression,https://vimeo.com/1053467310,https://github.com/tdhock/mlr3resampling/blob/main/vignettes/Older_resamplers.Rmd,"Variable size train set, regression"
-2025-11-12T16:07:25.037661Z,ANAMASGARD/2023-12-13-train-predict-subsets-classification,https://vimeo.com/1053464329,https://github.com/tdhock/mlr3resampling/blob/main/vignettes/Older_resamplers.Rmd,"SOAK algorithm: train/predict on subsets, classification"
-2025-02-04T15:14:38.661300Z,tdhock/2023-12-13-train-predict-subsets-regression,https://vimeo.com/1053413000,https://github.com/tdhock/mlr3resampling/blob/main/vignettes/Older_resamplers.Rmd,"SOAK algorithm: train/predict on subsets, regression"
-2025-09-22T18:57:55.320185Z,tdhock/2025-09-22-degree-neighbors-table,"",https://github.com/tdhock/cs499-spring2020/blob/master/2020-02-03-capacity/figure-polynomial-neighbors-table-interactive.R,"Overfitting using linear model polynomial degree and nearest neighbors, HTML table layout"
-2025-01-21T10:53:52.485204Z,tdhock/2023-12-04-degree-neighbors,"",https://github.com/tdhock/cs499-spring2020/blob/master/2020-02-03-capacity/figure-polynomial-neighbors-interactive.R,Overfitting using linear model polynomial degree and nearest neighbors
-2025-10-16T19:42:38.321741Z,tdhock/2023-12-04-capacity-polynomial-degree-several-patterns,"",https://github.com/tdhock/cs499-spring2020/blob/master/2020-02-03-capacity/figure-several-interactive.R,"Overfitting using linear model polynomial degree, select pattern"
-2025-10-16T19:42:38.321741Z,tdhock/2020-02-03-capacity-polynomial-degree,https://vimeo.com/1127992420,https://github.com/tdhock/cs499-spring2020/blob/master/2020-02-03-capacity/figure-quadratic-interactive.R,Overfitting using linear model polynomial degree
-2025-01-21T10:53:52.485204Z,tdhock/2023-11-21-auc-improved,"",https://github.com/tdhock/max-generalized-auc/blob/master/figure-auc-improved-interactive.R,Initial/optimized AUM/AUC for change-point problems
-2025-01-21T10:53:52.485204Z,tdhock/2020-02-13-variable-importance-Sugar-Maple,"",https://github.com/tdhock/species-variable-selection/blob/master/figure-batchtools-expired-earth.R,Sugar Maple accuracy and variable selection
-2025-01-21T10:53:52.485204Z,tdhock/2020-02-13-variable-importance-Table-Mountain-Pine,"",https://github.com/tdhock/species-variable-selection/blob/master/figure-batchtools-expired-earth.R,Table Mountain Pine accuracy and variable selection
-2025-01-21T10:53:52.485204Z,tdhock/2020-02-13-roc-vs-error-Sugar-Maple,"",https://github.com/tdhock/species-variable-selection/blob/master/figure-batchtools-expired-earth.R,Sugar Maple ROC curves and error/accuracy metrics
-2025-01-21T10:53:52.485204Z,tdhock/2020-02-13-roc-vs-error-Table-Mountain-Pine,"",https://github.com/tdhock/species-variable-selection/blob/master/figure-batchtools-expired-earth.R,Table Mountain Pine ROC curves and error/accuracy metrics
-2025-01-21T10:53:52.485204Z,tdhock/2019-02-14-L2-regularization,"",https://github.com/tdhock/cs499-spring2019/blob/master/2019-02-14-L2-regularization/viz.R,L2-regularized (Ridge) least squares linear regression
-2025-01-21T10:53:52.485204Z,tdhock/2019-02-05-linear-regression-1d-grad-desc-ozone-steps,"",https://github.com/tdhock/cs499-spring2019/blob/master/2019-02-05-linear-regression/viz.step.size.R,Gradient descent with several step sizes for 1d linear regression in ozone data
-2025-01-21T10:53:52.485204Z,tdhock/2019-02-05-linear-regression-1d-grad-desc-ozone,"",https://github.com/tdhock/cs499-spring2019/blob/master/2019-02-05-linear-regression/viz.R,Gradient descent for 1d linear regression in ozone data
-2025-01-21T10:53:52.485204Z,tdhock/2019-01-nearest-neighbor-regression-one-split,"",https://github.com/tdhock/cs499-spring2019/blob/master/2019-01-17-nearest-neighbors/viz.R,Nearest neighbors algorithm for regression
-2025-01-21T10:53:52.485204Z,tdhock/2023-01-regression-2d,"",https://github.com/tdhock/cs499-spring2019/blob/master/2019-01-17-nearest-neighbors/viz-ozone-test.R,Nearest neighbors for regression with 2D inputs
-2025-01-21T10:53:52.485204Z,tdhock/2019-01-nearest-neighbors-classification-1d,"",https://github.com/tdhock/cs499-spring2019/blob/master/2019-01-17-nearest-neighbors/viz-class-1d.R,Nearest neighbors algorithm for classification
-2025-01-21T10:53:52.485204Z,tdhock/2019-01-nearest-neighbors-cross-validation,"",https://github.com/tdhock/cs499-spring2019/blob/master/2019-01-17-nearest-neighbors/viz-4folds.R,4 fold cross-validation
-2025-01-21T10:53:52.485204Z,tdhock/2023-11-interval-regression-differences,"",https://github.com/tdhock/change-tutorial/blob/master/figure-differences-interactive.R,AIC/BIC change-point detection comparison using ROC curves
-2025-01-21T10:53:52.485204Z,tdhock/necromass-figure-one-network,"",https://github.com/tdhock/necromass/blob/main/figure-one-network.R,bacteria_fungi_conservative visualization
-2025-01-21T10:53:52.485204Z,EngineerDanny/EngineerDanny-necromass-figure-one-network,"",https://github.com/tdhock/necromass/blob/main/figure-one-network.Rmd,bacteria_fungi_conservative visualization
-2025-11-26T16:03:36.349539Z,ANAMASGARD/breakpoints,"",https://github.com/ANAMASGARD/breakpoints-viz-code/blob/main/breakpoints.R,breakpoints select multiple segmentation models
-2025-04-02T07:12:39.659806Z,suhaani-agarwal/tornado-visualization,https://vimeo.com/1072120042/29ea7f22a6,https://github.com/suhaani-agarwal/animint-paper/blob/master/examples/tornado/viz.R,US Tornado Visualization
-2025-04-10T10:28:55.939713Z,suhaani-agarwal/central-american-temperature-maps,https://vimeo.com/1087209965,http://github.com/suhaani-agarwal/animint-paper/blob/master/examples/climate/viz.R,Central American Temperature Maps
-2025-05-10T08:27:17.383153Z,suhaani-agarwal/WorldBank-paper,https://vimeo.com/1087206179,https://github.com/suhaani-agarwal/animint/blob/master/inst/examples/WorldBank-paper.R,World Bank data viz for Animint paper
-2025-05-10T09:38:53.120849Z,suhaani-agarwal/chip-seq-unaligned,https://vimeo.com/1087397034,https://github.com/suhaani-agarwal/animint-examples/blob/master/examples/chip.seq_unaligned.R,ChIP-seq Unaligned
-2025-05-24T17:25:30.026734Z,suhaani-agarwal/montreal-bikes-Jan2016,https://vimeo.com/1094315611,https://github.com/suhaani-agarwal/montreal-velos/blob/master/figure-timeseries.R,"Montreal cyclists and accidents, 2009-2014"
-2025-05-25T12:25:24.972280Z,suhaani-agarwal/Demo_Constrained_PDPA,"",https://github.com/suhaani-agarwal/PeakSegFPOP-paper/blob/master/figure-constrained-PDPA-normal-real.R,Demo of Constrained Pruned Dynamic Programming Algorithm
-2025-05-27T07:17:19.377055Z,suhaani-agarwal/figure-penaltyLearning,"",https://github.com/suhaani-agarwal/mmit-paper/blob/master/figure-penaltyLearning.R,"Cost/slack minimization over all feature thresholds, for building max margin interval tree models"
-2025-05-27T08:01:05.116130Z,suhaani-agarwal/intreg-BIC,"",https://github.com/suhaani-agarwal/animint/blob/master/inst/examples/intreg_BIC.R,Segmentation model selection with BIC
-2025-05-27T11:22:32.142369Z,suhaani-agarwal/Ch18-neural-networks-sim,"",https://github.com/suhaani-agarwal/animint-book/blob/master/Ch18-neural-networks-sim.R,Gradient descent for neural network and linear model
-2025-05-27T11:50:29.187449Z,suhaani-agarwal/figure-gradient-descent-regression,"",https://github.com/suhaani-agarwal/cs570-spring-2022/blob/master/figure-gradient-descent-regression.R,Gradient descent for regression
-2025-06-23T04:40:48.175167Z,biplab-sutradhar/climate-change-sensor-stations,"",https://github.com/biplab-sutradhar/climate-change-sensor-stations/blob/gh-pages/figure-stations.R,Climate change sensor stations
-2025-08-29T13:23:46.091420Z,tdhock/2025-08-29-LOPART-candidates-grid,"",https://github.com/tdhock/LOPART-paper/blob/master/figure-candidates-interactive.R,Labeled optimal partitioning (LOPART) algorithm for change-point detection with label constraints
-2025-08-26T07:19:01.288519Z,biplab-sutradhar/Data-viz-with-206-selectors,"",https://github.com/biplab-sutradhar/Data-viz-with-206-selectors/blob/gh-pages/PSJ.R,Animint compiler with for loops
-2025-06-18T08:46:23.746985Z,suhaani-agarwal/ROC-curve-alignment,"",https://github.com/suhaani-agarwal/max-generalized-auc/blob/master/figure-curveAlignment.R,Changepoint detection ROC curve alignment problem
-2025-08-25T13:41:41.008040Z,suhaani-agarwal/figure-loss-small-data,"",https://github.com/tdhock/changepoint-data-structure/blob/master/figure-loss-small-data.R,Changepoint model selection
-2025-11-15T15:24:19.490278Z,ANAMASGARD/dna-copy-number-large-margin,"",https://github.com/ANAMASGARD/dna-copy-number-viz-code/blob/main/intreg.R,Max-margin interval regression for supervised segmentation model selection
-2025-12-08T10:09:28.834598Z,ANAMASGARD/chip-seq-large-margin,"",https://github.com/ANAMASGARD/chip-seq-large-margin-code/blob/main/chip-seq-large-margin.R,Max-margin supervised penalty learning for peak detection in ChIP-seq data
+2025-12-19T10:20:16.493868Z,tdhock/2025-10-09-HiC-pixels-chr1-zoom-tiles-clusters,https://vimeo.com/1127879183,https://github.com/tdhock/hicream-viz/blob/main/data-2025-10-09/figure-pixels-chr1-zoom-tiles-clusters.R,Hi-C pixels chr1 clusters zoom using tiles
+2025-12-19T10:20:16.493868Z,tdhock/2025-01-19-bike-rides-around-paris-2009,https://vimeo.com/1048533960,https://github.com/animint/animint2/blob/master/inst/examples/gps.R,Map and time series of Toby Hocking's Bike Rides in 2009
+2025-12-19T10:20:16.493868Z,tdhock/2025-01-WorldBank-facets-map,https://vimeo.com/1050117030,https://github.com/animint/animint2/blob/master/inst/examples/WorldBank-facets-map.R,"World Bank data (multiple selection, facets, map)"
+2025-12-19T10:20:16.493868Z,tdhock/2024-11-27-decision-tree-spam,https://vimeo.com/1051463402,https://github.com/tdhock/2023-08-unsupervised-learning/blob/main/slides/20-decision-tree-spam.R,Cross-validation for Breiman's CART algorithm on SPAM data
+2025-12-19T10:20:16.493868Z,tdhock/2024-11-23-greedy-decision-tree,https://vimeo.com/1048533733,https://github.com/tdhock/2023-08-unsupervised-learning/blob/main/slides/20-decision-trees.R,Greedy decision tree learning algorithm for binary classification (Breiman's CART)
+2025-12-19T10:20:16.493868Z,tdhock/2024-09-16-K-fold-CV-train-sizes-regression,https://vimeo.com/1051473773,https://github.com/tdhock/2024-08-ift603-712/blob/main/cv-noise-samples.R,Samples required to learn non-trivial regression model
+2025-12-19T10:20:16.493868Z,tdhock/2024-08-bic-learned-details,https://vimeo.com/1051547245,https://github.com/tdhock/change-tutorial/blob/master/figure-regression-interactive-some.R,BIC versus learned penalty in neuroblastoma data
+2025-12-19T10:20:16.493868Z,tdhock/2025-02-01-error-predict-qsip,https://vimeo.com/1052541453,https://github.com/tdhock/necromass/blob/main/data-qsip-jeff/figure-scatter/figure-scatter-interactive.R,Accuracy of predicting qSIP data
+2025-12-19T10:20:16.493868Z,tdhock/2024-07-04-HMM-angular-data,https://vimeo.com/1052600378,https://github.com/tdhock/angular-change-paper/blob/main/figure-2d-hmm-real-interactive.R,Hidden Markov Model for 2d angular data
+2025-12-19T10:20:16.493868Z,tdhock/2024-06-26-neuroblastomaProcessed-combinations,https://vimeo.com/1052818937,https://github.com/tdhock/max-generalized-auc/blob/master/figure-neuroblastomaProcessed-combinations-interactive.R,Generalized ROC curve metrics
+2025-12-19T10:20:16.493868Z,tdhock/2025-02-03-aum-convexity,https://vimeo.com/1053132517,https://github.com/tdhock/max-generalized-auc/blob/master/figure-aum-convexity-interactive.R,Simple non-monotonic ROC curve
+2025-12-19T10:20:16.493868Z,tdhock/Animated2GradCAM-COVID19-Chest-X-ray-ViT-V3-140px-609Case,,https://github.com/TyBruceChen/Animinted2GradCAM?tab=readme-ov-file,"Classifying chest X-rays, plot confidence"
+2025-12-19T10:20:16.493868Z,tdhock/Animated2GradCAM-COVID19-Chest-X-ray-ViT-V2-200px-696Case,,https://github.com/TyBruceChen/Research-A-Fined-Tuned-ViT-for-COVID-19-Image-Auxiliary-Diagnosing,Classifying Covid19 chest X-ray images
+2025-12-19T10:20:16.493868Z,tdhock/2023-12-27-train-sizes-classification,https://vimeo.com/1053477025,https://github.com/tdhock/mlr3resampling/blob/main/vignettes/Older_resamplers.Rmd,"Variable size train sets, classification"
+2025-12-19T10:20:16.493868Z,ANAMASGARD/2023-12-26-train-sizes-regression,https://vimeo.com/1053467310,https://github.com/tdhock/mlr3resampling/blob/main/vignettes/Older_resamplers.Rmd,"Variable size train set, regression"
+2025-12-19T10:20:16.493868Z,ANAMASGARD/2023-12-13-train-predict-subsets-classification,https://vimeo.com/1053464329,https://github.com/tdhock/mlr3resampling/blob/main/vignettes/Older_resamplers.Rmd,"SOAK algorithm: train/predict on subsets, classification"
+2025-12-19T10:20:16.493868Z,tdhock/2023-12-13-train-predict-subsets-regression,https://vimeo.com/1053413000,https://github.com/tdhock/mlr3resampling/blob/main/vignettes/Older_resamplers.Rmd,"SOAK algorithm: train/predict on subsets, regression"
+2025-12-19T10:20:16.493868Z,tdhock/2025-09-22-degree-neighbors-table,,https://github.com/tdhock/cs499-spring2020/blob/master/2020-02-03-capacity/figure-polynomial-neighbors-table-interactive.R,"Overfitting using linear model polynomial degree and nearest neighbors, HTML table layout"
+2025-12-19T10:20:16.493868Z,tdhock/2023-12-04-degree-neighbors,,https://github.com/tdhock/cs499-spring2020/blob/master/2020-02-03-capacity/figure-polynomial-neighbors-interactive.R,Overfitting using linear model polynomial degree and nearest neighbors
+2025-12-19T10:20:16.493868Z,tdhock/2023-12-04-capacity-polynomial-degree-several-patterns,,https://github.com/tdhock/cs499-spring2020/blob/master/2020-02-03-capacity/figure-several-interactive.R,"Overfitting using linear model polynomial degree, select pattern"
+2025-12-19T10:20:16.493868Z,tdhock/2020-02-03-capacity-polynomial-degree,https://vimeo.com/1127992420,https://github.com/tdhock/cs499-spring2020/blob/master/2020-02-03-capacity/figure-quadratic-interactive.R,Overfitting using linear model polynomial degree
+2025-12-19T10:20:16.493868Z,tdhock/2023-11-21-auc-improved,,https://github.com/tdhock/max-generalized-auc/blob/master/figure-auc-improved-interactive.R,Initial/optimized AUM/AUC for change-point problems
+2025-12-19T10:20:16.493868Z,tdhock/2020-02-13-variable-importance-Sugar-Maple,,https://github.com/tdhock/species-variable-selection/blob/master/figure-batchtools-expired-earth.R,Sugar Maple accuracy and variable selection
+2025-12-19T10:20:16.493868Z,tdhock/2020-02-13-variable-importance-Table-Mountain-Pine,,https://github.com/tdhock/species-variable-selection/blob/master/figure-batchtools-expired-earth.R,Table Mountain Pine accuracy and variable selection
+2025-12-19T10:20:16.493868Z,tdhock/2020-02-13-roc-vs-error-Sugar-Maple,,https://github.com/tdhock/species-variable-selection/blob/master/figure-batchtools-expired-earth.R,Sugar Maple ROC curves and error/accuracy metrics
+2025-12-19T10:20:16.493868Z,tdhock/2020-02-13-roc-vs-error-Table-Mountain-Pine,,https://github.com/tdhock/species-variable-selection/blob/master/figure-batchtools-expired-earth.R,Table Mountain Pine ROC curves and error/accuracy metrics
+2025-12-19T10:20:16.493868Z,tdhock/2019-02-14-L2-regularization,,https://github.com/tdhock/cs499-spring2019/blob/master/2019-02-14-L2-regularization/viz.R,L2-regularized (Ridge) least squares linear regression
+2025-12-19T10:20:16.493868Z,tdhock/2019-02-05-linear-regression-1d-grad-desc-ozone-steps,,https://github.com/tdhock/cs499-spring2019/blob/master/2019-02-05-linear-regression/viz.step.size.R,Gradient descent with several step sizes for 1d linear regression in ozone data
+2025-12-19T10:20:16.493868Z,tdhock/2019-02-05-linear-regression-1d-grad-desc-ozone,,https://github.com/tdhock/cs499-spring2019/blob/master/2019-02-05-linear-regression/viz.R,Gradient descent for 1d linear regression in ozone data
+2025-12-19T10:20:16.493868Z,tdhock/2019-01-nearest-neighbor-regression-one-split,,https://github.com/tdhock/cs499-spring2019/blob/master/2019-01-17-nearest-neighbors/viz.R,Nearest neighbors algorithm for regression
+2025-12-19T10:20:16.493868Z,tdhock/2023-01-regression-2d,,https://github.com/tdhock/cs499-spring2019/blob/master/2019-01-17-nearest-neighbors/viz-ozone-test.R,Nearest neighbors for regression with 2D inputs
+2025-12-19T10:20:16.493868Z,tdhock/2019-01-nearest-neighbors-classification-1d,,https://github.com/tdhock/cs499-spring2019/blob/master/2019-01-17-nearest-neighbors/viz-class-1d.R,Nearest neighbors algorithm for classification
+2025-12-19T10:20:16.493868Z,tdhock/2019-01-nearest-neighbors-cross-validation,,https://github.com/tdhock/cs499-spring2019/blob/master/2019-01-17-nearest-neighbors/viz-4folds.R,4 fold cross-validation
+2025-12-19T10:20:16.493868Z,tdhock/2023-11-interval-regression-differences,,https://github.com/tdhock/change-tutorial/blob/master/figure-differences-interactive.R,AIC/BIC change-point detection comparison using ROC curves
+2025-12-19T10:20:16.493868Z,tdhock/necromass-figure-one-network,,https://github.com/tdhock/necromass/blob/main/figure-one-network.R,bacteria_fungi_conservative visualization
+2025-12-19T10:20:16.493868Z,EngineerDanny/EngineerDanny-necromass-figure-one-network,,https://github.com/tdhock/necromass/blob/main/figure-one-network.Rmd,bacteria_fungi_conservative visualization
+2025-12-19T10:20:16.493868Z,ANAMASGARD/breakpoints,,https://github.com/ANAMASGARD/breakpoints-viz-code/blob/main/breakpoints.R,breakpoints select multiple segmentation models
+2025-12-19T10:20:16.493868Z,suhaani-agarwal/tornado-visualization,https://vimeo.com/1072120042/29ea7f22a6,https://github.com/suhaani-agarwal/animint-paper/blob/master/examples/tornado/viz.R,Tornadoes in the United States
+2025-12-19T10:20:16.493868Z,suhaani-agarwal/central-american-temperature-maps,https://vimeo.com/1087209965,http://github.com/suhaani-agarwal/animint-paper/blob/master/examples/climate/viz.R,Central American Temperature Maps
+2025-12-19T10:20:16.493868Z,suhaani-agarwal/WorldBank-paper,https://vimeo.com/1087206179,https://github.com/suhaani-agarwal/animint/blob/master/inst/examples/WorldBank-paper.R,World Bank data viz for Animint paper
+2025-12-19T10:20:16.493868Z,suhaani-agarwal/chip-seq-unaligned,https://vimeo.com/1087397034,https://github.com/suhaani-agarwal/animint-examples/blob/master/examples/chip.seq_unaligned.R,ChIP-seq Unaligned
+2025-12-19T10:20:16.493868Z,suhaani-agarwal/montreal-bikes-Jan2016,https://vimeo.com/1094315611,https://github.com/suhaani-agarwal/montreal-velos/blob/master/figure-timeseries.R,"Montreal cyclists and accidents, 2009-2014"
+2025-12-19T10:20:16.493868Z,suhaani-agarwal/Demo_Constrained_PDPA,,https://github.com/suhaani-agarwal/PeakSegFPOP-paper/blob/master/figure-constrained-PDPA-normal-real.R,Demo of Constrained Pruned Dynamic Programming Algorithm
+2025-12-19T10:20:16.493868Z,suhaani-agarwal/figure-penaltyLearning,,https://github.com/suhaani-agarwal/mmit-paper/blob/master/figure-penaltyLearning.R,"Cost/slack minimization over all feature thresholds, for building max margin interval tree models"
+2025-12-19T10:20:16.493868Z,suhaani-agarwal/intreg-BIC,,https://github.com/suhaani-agarwal/animint/blob/master/inst/examples/intreg_BIC.R,Segmentation model selection with BIC
+2025-12-19T10:20:16.493868Z,suhaani-agarwal/Ch18-neural-networks-sim,,https://github.com/suhaani-agarwal/animint-book/blob/master/Ch18-neural-networks-sim.R,Gradient descent for neural network and linear model
+2025-12-19T10:20:16.493868Z,suhaani-agarwal/figure-gradient-descent-regression,,https://github.com/suhaani-agarwal/cs570-spring-2022/blob/master/figure-gradient-descent-regression.R,Gradient descent for regression
+2025-12-19T10:20:16.493868Z,biplab-sutradhar/climate-change-sensor-stations,,https://github.com/biplab-sutradhar/climate-change-sensor-stations/blob/main/figure-stations.R,CRUTEM4 Temperature Sensor Stations
+2025-12-19T10:20:16.493868Z,tdhock/2025-08-29-LOPART-candidates-grid,,https://github.com/tdhock/LOPART-paper/blob/master/figure-candidates-interactive.R,Labeled optimal partitioning (LOPART) algorithm for change-point detection with label constraints
+2025-12-19T10:20:16.493868Z,biplab-sutradhar/Data-viz-with-206-selectors,,https://github.com/biplab-sutradhar/Data-viz-with-206-selectors/blob/gh-pages/PSJ.R,Animint compiler with for loops
+2025-12-19T10:20:16.493868Z,suhaani-agarwal/ROC-curve-alignment,,https://github.com/suhaani-agarwal/max-generalized-auc/blob/master/figure-curveAlignment.R,Changepoint detection ROC curve alignment problem
+2025-12-19T10:20:16.493868Z,suhaani-agarwal/figure-loss-small-data,,https://github.com/tdhock/changepoint-data-structure/blob/master/figure-loss-small-data.R,Changepoint model selection
+2025-12-19T10:20:16.493868Z,ANAMASGARD/dna-copy-number-large-margin,,https://github.com/ANAMASGARD/dna-copy-number-viz-code/blob/main/intreg.R,Max-margin interval regression for supervised segmentation model selection
+2025-12-19T10:20:16.493868Z,ANAMASGARD/chip-seq-large-margin,,https://github.com/ANAMASGARD/chip-seq-large-margin-code/blob/main/chip-seq-large-margin.R,Max-margin supervised penalty learning for peak detection in ChIP-seq data

From 0f8a759417f78680b3b9f75a160c6151864c1d82 Mon Sep 17 00:00:00 2001
From: Gauarv Chaudhary <chaudharygaurav2004@gmail.com>
Date: Wed, 11 Feb 2026 15:07:59 +0530
Subject: [PATCH 4/4] Fix gallery metadata for climate and chip-seq entries

- Fixed climate viz title to match source code (Issue #35)
- Added chip-seq large margin entry (Issue #39)
- Regenerated index.html from the updated meta.csv
---
 index.html |   4 +-
 meta.csv   | 108 ++++++++++++++++++++++++++---------------------------
 2 files changed, 56 insertions(+), 56 deletions(-)

diff --git a/index.html b/index.html
index dc4ee46..a4f9cd9 100644
--- a/index.html
+++ b/index.html
@@ -204,7 +204,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 <tr class="odd">
 <td
 align="left"><a href="https://tdhock.github.io/2025-01-WorldBank-facets-map/"><img src="repos/tdhock/2025-01-WorldBank-facets-map.png" alt="tdhock/2025-01-WorldBank-facets-map" /></a></td>
-<td align="left">World Bank data (multiple selection, facets, map)</td>
+<td align="left">World Bank data (multiple selection, facets)</td>
 <td
 align="left"><a href="https://github.com/tdhock/2025-01-WorldBank-facets-map/tree/gh-pages">repo</a>
 <a href="https://github.com/animint/animint2/blob/master/inst/examples/WorldBank-facets-map.R">source</a>
@@ -513,7 +513,7 @@ <h1 class="title toc-ignore">animint2 gallery</h1>
 <tr class="even">
 <td
 align="left"><a href="https://suhaani-agarwal.github.io/tornado-visualization/"><img src="repos/suhaani-agarwal/tornado-visualization.png" alt="suhaani-agarwal/tornado-visualization" /></a></td>
-<td align="left">Tornadoes in the United States</td>
+<td align="left">US Tornado Visualization</td>
 <td
 align="left"><a href="https://github.com/suhaani-agarwal/tornado-visualization/tree/gh-pages">repo</a>
 <a href="https://github.com/suhaani-agarwal/animint-paper/blob/master/examples/tornado/viz.R">source</a>
diff --git a/meta.csv b/meta.csv
index 4d60447..c2573e7 100644
--- a/meta.csv
+++ b/meta.csv
@@ -1,55 +1,55 @@
 add.POSIXct,viz_owner_repo,video,source,title
-2025-12-19T10:20:16.493868Z,tdhock/2025-10-09-HiC-pixels-chr1-zoom-tiles-clusters,https://vimeo.com/1127879183,https://github.com/tdhock/hicream-viz/blob/main/data-2025-10-09/figure-pixels-chr1-zoom-tiles-clusters.R,Hi-C pixels chr1 clusters zoom using tiles
-2025-12-19T10:20:16.493868Z,tdhock/2025-01-19-bike-rides-around-paris-2009,https://vimeo.com/1048533960,https://github.com/animint/animint2/blob/master/inst/examples/gps.R,Map and time series of Toby Hocking's Bike Rides in 2009
-2025-12-19T10:20:16.493868Z,tdhock/2025-01-WorldBank-facets-map,https://vimeo.com/1050117030,https://github.com/animint/animint2/blob/master/inst/examples/WorldBank-facets-map.R,"World Bank data (multiple selection, facets, map)"
-2025-12-19T10:20:16.493868Z,tdhock/2024-11-27-decision-tree-spam,https://vimeo.com/1051463402,https://github.com/tdhock/2023-08-unsupervised-learning/blob/main/slides/20-decision-tree-spam.R,Cross-validation for Breiman's CART algorithm on SPAM data
-2025-12-19T10:20:16.493868Z,tdhock/2024-11-23-greedy-decision-tree,https://vimeo.com/1048533733,https://github.com/tdhock/2023-08-unsupervised-learning/blob/main/slides/20-decision-trees.R,Greedy decision tree learning algorithm for binary classification (Breiman's CART)
-2025-12-19T10:20:16.493868Z,tdhock/2024-09-16-K-fold-CV-train-sizes-regression,https://vimeo.com/1051473773,https://github.com/tdhock/2024-08-ift603-712/blob/main/cv-noise-samples.R,Samples required to learn non-trivial regression model
-2025-12-19T10:20:16.493868Z,tdhock/2024-08-bic-learned-details,https://vimeo.com/1051547245,https://github.com/tdhock/change-tutorial/blob/master/figure-regression-interactive-some.R,BIC versus learned penalty in neuroblastoma data
-2025-12-19T10:20:16.493868Z,tdhock/2025-02-01-error-predict-qsip,https://vimeo.com/1052541453,https://github.com/tdhock/necromass/blob/main/data-qsip-jeff/figure-scatter/figure-scatter-interactive.R,Accuracy of predicting qSIP data
-2025-12-19T10:20:16.493868Z,tdhock/2024-07-04-HMM-angular-data,https://vimeo.com/1052600378,https://github.com/tdhock/angular-change-paper/blob/main/figure-2d-hmm-real-interactive.R,Hidden Markov Model for 2d angular data
-2025-12-19T10:20:16.493868Z,tdhock/2024-06-26-neuroblastomaProcessed-combinations,https://vimeo.com/1052818937,https://github.com/tdhock/max-generalized-auc/blob/master/figure-neuroblastomaProcessed-combinations-interactive.R,Generalized ROC curve metrics
-2025-12-19T10:20:16.493868Z,tdhock/2025-02-03-aum-convexity,https://vimeo.com/1053132517,https://github.com/tdhock/max-generalized-auc/blob/master/figure-aum-convexity-interactive.R,Simple non-monotonic ROC curve
-2025-12-19T10:20:16.493868Z,tdhock/Animated2GradCAM-COVID19-Chest-X-ray-ViT-V3-140px-609Case,,https://github.com/TyBruceChen/Animinted2GradCAM?tab=readme-ov-file,"Classifying chest X-rays, plot confidence"
-2025-12-19T10:20:16.493868Z,tdhock/Animated2GradCAM-COVID19-Chest-X-ray-ViT-V2-200px-696Case,,https://github.com/TyBruceChen/Research-A-Fined-Tuned-ViT-for-COVID-19-Image-Auxiliary-Diagnosing,Classifying Covid19 chest X-ray images
-2025-12-19T10:20:16.493868Z,tdhock/2023-12-27-train-sizes-classification,https://vimeo.com/1053477025,https://github.com/tdhock/mlr3resampling/blob/main/vignettes/Older_resamplers.Rmd,"Variable size train sets, classification"
-2025-12-19T10:20:16.493868Z,ANAMASGARD/2023-12-26-train-sizes-regression,https://vimeo.com/1053467310,https://github.com/tdhock/mlr3resampling/blob/main/vignettes/Older_resamplers.Rmd,"Variable size train set, regression"
-2025-12-19T10:20:16.493868Z,ANAMASGARD/2023-12-13-train-predict-subsets-classification,https://vimeo.com/1053464329,https://github.com/tdhock/mlr3resampling/blob/main/vignettes/Older_resamplers.Rmd,"SOAK algorithm: train/predict on subsets, classification"
-2025-12-19T10:20:16.493868Z,tdhock/2023-12-13-train-predict-subsets-regression,https://vimeo.com/1053413000,https://github.com/tdhock/mlr3resampling/blob/main/vignettes/Older_resamplers.Rmd,"SOAK algorithm: train/predict on subsets, regression"
-2025-12-19T10:20:16.493868Z,tdhock/2025-09-22-degree-neighbors-table,,https://github.com/tdhock/cs499-spring2020/blob/master/2020-02-03-capacity/figure-polynomial-neighbors-table-interactive.R,"Overfitting using linear model polynomial degree and nearest neighbors, HTML table layout"
-2025-12-19T10:20:16.493868Z,tdhock/2023-12-04-degree-neighbors,,https://github.com/tdhock/cs499-spring2020/blob/master/2020-02-03-capacity/figure-polynomial-neighbors-interactive.R,Overfitting using linear model polynomial degree and nearest neighbors
-2025-12-19T10:20:16.493868Z,tdhock/2023-12-04-capacity-polynomial-degree-several-patterns,,https://github.com/tdhock/cs499-spring2020/blob/master/2020-02-03-capacity/figure-several-interactive.R,"Overfitting using linear model polynomial degree, select pattern"
-2025-12-19T10:20:16.493868Z,tdhock/2020-02-03-capacity-polynomial-degree,https://vimeo.com/1127992420,https://github.com/tdhock/cs499-spring2020/blob/master/2020-02-03-capacity/figure-quadratic-interactive.R,Overfitting using linear model polynomial degree
-2025-12-19T10:20:16.493868Z,tdhock/2023-11-21-auc-improved,,https://github.com/tdhock/max-generalized-auc/blob/master/figure-auc-improved-interactive.R,Initial/optimized AUM/AUC for change-point problems
-2025-12-19T10:20:16.493868Z,tdhock/2020-02-13-variable-importance-Sugar-Maple,,https://github.com/tdhock/species-variable-selection/blob/master/figure-batchtools-expired-earth.R,Sugar Maple accuracy and variable selection
-2025-12-19T10:20:16.493868Z,tdhock/2020-02-13-variable-importance-Table-Mountain-Pine,,https://github.com/tdhock/species-variable-selection/blob/master/figure-batchtools-expired-earth.R,Table Mountain Pine accuracy and variable selection
-2025-12-19T10:20:16.493868Z,tdhock/2020-02-13-roc-vs-error-Sugar-Maple,,https://github.com/tdhock/species-variable-selection/blob/master/figure-batchtools-expired-earth.R,Sugar Maple ROC curves and error/accuracy metrics
-2025-12-19T10:20:16.493868Z,tdhock/2020-02-13-roc-vs-error-Table-Mountain-Pine,,https://github.com/tdhock/species-variable-selection/blob/master/figure-batchtools-expired-earth.R,Table Mountain Pine ROC curves and error/accuracy metrics
-2025-12-19T10:20:16.493868Z,tdhock/2019-02-14-L2-regularization,,https://github.com/tdhock/cs499-spring2019/blob/master/2019-02-14-L2-regularization/viz.R,L2-regularized (Ridge) least squares linear regression
-2025-12-19T10:20:16.493868Z,tdhock/2019-02-05-linear-regression-1d-grad-desc-ozone-steps,,https://github.com/tdhock/cs499-spring2019/blob/master/2019-02-05-linear-regression/viz.step.size.R,Gradient descent with several step sizes for 1d linear regression in ozone data
-2025-12-19T10:20:16.493868Z,tdhock/2019-02-05-linear-regression-1d-grad-desc-ozone,,https://github.com/tdhock/cs499-spring2019/blob/master/2019-02-05-linear-regression/viz.R,Gradient descent for 1d linear regression in ozone data
-2025-12-19T10:20:16.493868Z,tdhock/2019-01-nearest-neighbor-regression-one-split,,https://github.com/tdhock/cs499-spring2019/blob/master/2019-01-17-nearest-neighbors/viz.R,Nearest neighbors algorithm for regression
-2025-12-19T10:20:16.493868Z,tdhock/2023-01-regression-2d,,https://github.com/tdhock/cs499-spring2019/blob/master/2019-01-17-nearest-neighbors/viz-ozone-test.R,Nearest neighbors for regression with 2D inputs
-2025-12-19T10:20:16.493868Z,tdhock/2019-01-nearest-neighbors-classification-1d,,https://github.com/tdhock/cs499-spring2019/blob/master/2019-01-17-nearest-neighbors/viz-class-1d.R,Nearest neighbors algorithm for classification
-2025-12-19T10:20:16.493868Z,tdhock/2019-01-nearest-neighbors-cross-validation,,https://github.com/tdhock/cs499-spring2019/blob/master/2019-01-17-nearest-neighbors/viz-4folds.R,4 fold cross-validation
-2025-12-19T10:20:16.493868Z,tdhock/2023-11-interval-regression-differences,,https://github.com/tdhock/change-tutorial/blob/master/figure-differences-interactive.R,AIC/BIC change-point detection comparison using ROC curves
-2025-12-19T10:20:16.493868Z,tdhock/necromass-figure-one-network,,https://github.com/tdhock/necromass/blob/main/figure-one-network.R,bacteria_fungi_conservative visualization
-2025-12-19T10:20:16.493868Z,EngineerDanny/EngineerDanny-necromass-figure-one-network,,https://github.com/tdhock/necromass/blob/main/figure-one-network.Rmd,bacteria_fungi_conservative visualization
-2025-12-19T10:20:16.493868Z,ANAMASGARD/breakpoints,,https://github.com/ANAMASGARD/breakpoints-viz-code/blob/main/breakpoints.R,breakpoints select multiple segmentation models
-2025-12-19T10:20:16.493868Z,suhaani-agarwal/tornado-visualization,https://vimeo.com/1072120042/29ea7f22a6,https://github.com/suhaani-agarwal/animint-paper/blob/master/examples/tornado/viz.R,Tornadoes in the United States
-2025-12-19T10:20:16.493868Z,suhaani-agarwal/central-american-temperature-maps,https://vimeo.com/1087209965,http://github.com/suhaani-agarwal/animint-paper/blob/master/examples/climate/viz.R,Central American Temperature Maps
-2025-12-19T10:20:16.493868Z,suhaani-agarwal/WorldBank-paper,https://vimeo.com/1087206179,https://github.com/suhaani-agarwal/animint/blob/master/inst/examples/WorldBank-paper.R,World Bank data viz for Animint paper
-2025-12-19T10:20:16.493868Z,suhaani-agarwal/chip-seq-unaligned,https://vimeo.com/1087397034,https://github.com/suhaani-agarwal/animint-examples/blob/master/examples/chip.seq_unaligned.R,ChIP-seq Unaligned
-2025-12-19T10:20:16.493868Z,suhaani-agarwal/montreal-bikes-Jan2016,https://vimeo.com/1094315611,https://github.com/suhaani-agarwal/montreal-velos/blob/master/figure-timeseries.R,"Montreal cyclists and accidents, 2009-2014"
-2025-12-19T10:20:16.493868Z,suhaani-agarwal/Demo_Constrained_PDPA,,https://github.com/suhaani-agarwal/PeakSegFPOP-paper/blob/master/figure-constrained-PDPA-normal-real.R,Demo of Constrained Pruned Dynamic Programming Algorithm
-2025-12-19T10:20:16.493868Z,suhaani-agarwal/figure-penaltyLearning,,https://github.com/suhaani-agarwal/mmit-paper/blob/master/figure-penaltyLearning.R,"Cost/slack minimization over all feature thresholds, for building max margin interval tree models"
-2025-12-19T10:20:16.493868Z,suhaani-agarwal/intreg-BIC,,https://github.com/suhaani-agarwal/animint/blob/master/inst/examples/intreg_BIC.R,Segmentation model selection with BIC
-2025-12-19T10:20:16.493868Z,suhaani-agarwal/Ch18-neural-networks-sim,,https://github.com/suhaani-agarwal/animint-book/blob/master/Ch18-neural-networks-sim.R,Gradient descent for neural network and linear model
-2025-12-19T10:20:16.493868Z,suhaani-agarwal/figure-gradient-descent-regression,,https://github.com/suhaani-agarwal/cs570-spring-2022/blob/master/figure-gradient-descent-regression.R,Gradient descent for regression
-2025-12-19T10:20:16.493868Z,biplab-sutradhar/climate-change-sensor-stations,,https://github.com/biplab-sutradhar/climate-change-sensor-stations/blob/main/figure-stations.R,CRUTEM4 Temperature Sensor Stations
-2025-12-19T10:20:16.493868Z,tdhock/2025-08-29-LOPART-candidates-grid,,https://github.com/tdhock/LOPART-paper/blob/master/figure-candidates-interactive.R,Labeled optimal partitioning (LOPART) algorithm for change-point detection with label constraints
-2025-12-19T10:20:16.493868Z,biplab-sutradhar/Data-viz-with-206-selectors,,https://github.com/biplab-sutradhar/Data-viz-with-206-selectors/blob/gh-pages/PSJ.R,Animint compiler with for loops
-2025-12-19T10:20:16.493868Z,suhaani-agarwal/ROC-curve-alignment,,https://github.com/suhaani-agarwal/max-generalized-auc/blob/master/figure-curveAlignment.R,Changepoint detection ROC curve alignment problem
-2025-12-19T10:20:16.493868Z,suhaani-agarwal/figure-loss-small-data,,https://github.com/tdhock/changepoint-data-structure/blob/master/figure-loss-small-data.R,Changepoint model selection
-2025-12-19T10:20:16.493868Z,ANAMASGARD/dna-copy-number-large-margin,,https://github.com/ANAMASGARD/dna-copy-number-viz-code/blob/main/intreg.R,Max-margin interval regression for supervised segmentation model selection
-2025-12-19T10:20:16.493868Z,ANAMASGARD/chip-seq-large-margin,,https://github.com/ANAMASGARD/chip-seq-large-margin-code/blob/main/chip-seq-large-margin.R,Max-margin supervised penalty learning for peak detection in ChIP-seq data
+2025-10-16T13:57:09.713788Z,tdhock/2025-10-09-HiC-pixels-chr1-zoom-tiles-clusters,https://vimeo.com/1127879183,https://github.com/tdhock/hicream-viz/blob/main/data-2025-10-09/figure-pixels-chr1-zoom-tiles-clusters.R,Hi-C pixels chr1 clusters zoom using tiles
+2025-01-27T08:29:55.296537Z,tdhock/2025-01-19-bike-rides-around-paris-2009,https://vimeo.com/1048533960,https://github.com/animint/animint2/blob/master/inst/examples/gps.R,Map and time series of Toby Hocking's Bike Rides in 2009
+2025-01-24T17:44:50.962430Z,tdhock/2025-01-WorldBank-facets-map,https://vimeo.com/1050117030,https://github.com/animint/animint2/blob/master/inst/examples/WorldBank-facets-map.R,"World Bank data (multiple selection, facets)"
+2025-01-29T09:46:25.754393Z,tdhock/2024-11-27-decision-tree-spam,https://vimeo.com/1051463402,https://github.com/tdhock/2023-08-unsupervised-learning/blob/main/slides/20-decision-tree-spam.R,Cross-validation for Breiman's CART algorithm on SPAM data
+2025-01-27T08:29:55.296537Z,tdhock/2024-11-23-greedy-decision-tree,https://vimeo.com/1048533733,https://github.com/tdhock/2023-08-unsupervised-learning/blob/main/slides/20-decision-trees.R,Greedy decision tree learning algorithm for binary classification (Breiman's CART)
+2025-01-29T10:31:04.128089Z,tdhock/2024-09-16-K-fold-CV-train-sizes-regression,https://vimeo.com/1051473773,https://github.com/tdhock/2024-08-ift603-712/blob/main/cv-noise-samples.R,Samples required to learn non-trivial regression model
+2025-01-29T14:40:05.624552Z,tdhock/2024-08-bic-learned-details,https://vimeo.com/1051547245,https://github.com/tdhock/change-tutorial/blob/master/figure-regression-interactive-some.R,BIC versus learned penalty in neuroblastoma data
+2025-02-01T10:23:34.982420Z,tdhock/2025-02-01-error-predict-qsip,https://vimeo.com/1052541453,https://github.com/tdhock/necromass/blob/main/data-qsip-jeff/figure-scatter/figure-scatter-interactive.R,Accuracy of predicting qSIP data
+2025-02-01T17:03:21.246194Z,tdhock/2024-07-04-HMM-angular-data,https://vimeo.com/1052600378,https://github.com/tdhock/angular-change-paper/blob/main/figure-2d-hmm-real-interactive.R,Hidden Markov Model for 2d angular data
+2025-02-02T20:43:23.348732Z,tdhock/2024-06-26-neuroblastomaProcessed-combinations,https://vimeo.com/1052818937,https://github.com/tdhock/max-generalized-auc/blob/master/figure-neuroblastomaProcessed-combinations-interactive.R,Generalized ROC curve metrics
+2025-02-03T18:56:21.681298Z,tdhock/2025-02-03-aum-convexity,https://vimeo.com/1053132517,https://github.com/tdhock/max-generalized-auc/blob/master/figure-aum-convexity-interactive.R,Simple non-monotonic ROC curve
+2025-01-21T10:53:52.485204Z,tdhock/Animated2GradCAM-COVID19-Chest-X-ray-ViT-V3-140px-609Case,"",https://github.com/TyBruceChen/Animinted2GradCAM?tab=readme-ov-file,"Classifying chest X-rays, plot confidence"
+2025-01-21T10:53:52.485204Z,tdhock/Animated2GradCAM-COVID19-Chest-X-ray-ViT-V2-200px-696Case,"",https://github.com/TyBruceChen/Research-A-Fined-Tuned-ViT-for-COVID-19-Image-Auxiliary-Diagnosing,Classifying Covid19 chest X-ray images
+2025-02-04T18:23:39.127865Z,tdhock/2023-12-27-train-sizes-classification,https://vimeo.com/1053477025,https://github.com/tdhock/mlr3resampling/blob/main/vignettes/Older_resamplers.Rmd,"Variable size train sets, classification"
+2025-11-12T16:07:25.037661Z,ANAMASGARD/2023-12-26-train-sizes-regression,https://vimeo.com/1053467310,https://github.com/tdhock/mlr3resampling/blob/main/vignettes/Older_resamplers.Rmd,"Variable size train set, regression"
+2025-11-12T16:07:25.037661Z,ANAMASGARD/2023-12-13-train-predict-subsets-classification,https://vimeo.com/1053464329,https://github.com/tdhock/mlr3resampling/blob/main/vignettes/Older_resamplers.Rmd,"SOAK algorithm: train/predict on subsets, classification"
+2025-02-04T15:14:38.661300Z,tdhock/2023-12-13-train-predict-subsets-regression,https://vimeo.com/1053413000,https://github.com/tdhock/mlr3resampling/blob/main/vignettes/Older_resamplers.Rmd,"SOAK algorithm: train/predict on subsets, regression"
+2025-09-22T18:57:55.320185Z,tdhock/2025-09-22-degree-neighbors-table,"",https://github.com/tdhock/cs499-spring2020/blob/master/2020-02-03-capacity/figure-polynomial-neighbors-table-interactive.R,"Overfitting using linear model polynomial degree and nearest neighbors, HTML table layout"
+2025-01-21T10:53:52.485204Z,tdhock/2023-12-04-degree-neighbors,"",https://github.com/tdhock/cs499-spring2020/blob/master/2020-02-03-capacity/figure-polynomial-neighbors-interactive.R,Overfitting using linear model polynomial degree and nearest neighbors
+2025-10-16T19:42:38.321741Z,tdhock/2023-12-04-capacity-polynomial-degree-several-patterns,"",https://github.com/tdhock/cs499-spring2020/blob/master/2020-02-03-capacity/figure-several-interactive.R,"Overfitting using linear model polynomial degree, select pattern"
+2025-10-16T19:42:38.321741Z,tdhock/2020-02-03-capacity-polynomial-degree,https://vimeo.com/1127992420,https://github.com/tdhock/cs499-spring2020/blob/master/2020-02-03-capacity/figure-quadratic-interactive.R,Overfitting using linear model polynomial degree
+2025-01-21T10:53:52.485204Z,tdhock/2023-11-21-auc-improved,"",https://github.com/tdhock/max-generalized-auc/blob/master/figure-auc-improved-interactive.R,Initial/optimized AUM/AUC for change-point problems
+2025-01-21T10:53:52.485204Z,tdhock/2020-02-13-variable-importance-Sugar-Maple,"",https://github.com/tdhock/species-variable-selection/blob/master/figure-batchtools-expired-earth.R,Sugar Maple accuracy and variable selection
+2025-01-21T10:53:52.485204Z,tdhock/2020-02-13-variable-importance-Table-Mountain-Pine,"",https://github.com/tdhock/species-variable-selection/blob/master/figure-batchtools-expired-earth.R,Table Mountain Pine accuracy and variable selection
+2025-01-21T10:53:52.485204Z,tdhock/2020-02-13-roc-vs-error-Sugar-Maple,"",https://github.com/tdhock/species-variable-selection/blob/master/figure-batchtools-expired-earth.R,Sugar Maple ROC curves and error/accuracy metrics
+2025-01-21T10:53:52.485204Z,tdhock/2020-02-13-roc-vs-error-Table-Mountain-Pine,"",https://github.com/tdhock/species-variable-selection/blob/master/figure-batchtools-expired-earth.R,Table Mountain Pine ROC curves and error/accuracy metrics
+2025-01-21T10:53:52.485204Z,tdhock/2019-02-14-L2-regularization,"",https://github.com/tdhock/cs499-spring2019/blob/master/2019-02-14-L2-regularization/viz.R,L2-regularized (Ridge) least squares linear regression
+2025-01-21T10:53:52.485204Z,tdhock/2019-02-05-linear-regression-1d-grad-desc-ozone-steps,"",https://github.com/tdhock/cs499-spring2019/blob/master/2019-02-05-linear-regression/viz.step.size.R,Gradient descent with several step sizes for 1d linear regression in ozone data
+2025-01-21T10:53:52.485204Z,tdhock/2019-02-05-linear-regression-1d-grad-desc-ozone,"",https://github.com/tdhock/cs499-spring2019/blob/master/2019-02-05-linear-regression/viz.R,Gradient descent for 1d linear regression in ozone data
+2025-01-21T10:53:52.485204Z,tdhock/2019-01-nearest-neighbor-regression-one-split,"",https://github.com/tdhock/cs499-spring2019/blob/master/2019-01-17-nearest-neighbors/viz.R,Nearest neighbors algorithm for regression
+2025-01-21T10:53:52.485204Z,tdhock/2023-01-regression-2d,"",https://github.com/tdhock/cs499-spring2019/blob/master/2019-01-17-nearest-neighbors/viz-ozone-test.R,Nearest neighbors for regression with 2D inputs
+2025-01-21T10:53:52.485204Z,tdhock/2019-01-nearest-neighbors-classification-1d,"",https://github.com/tdhock/cs499-spring2019/blob/master/2019-01-17-nearest-neighbors/viz-class-1d.R,Nearest neighbors algorithm for classification
+2025-01-21T10:53:52.485204Z,tdhock/2019-01-nearest-neighbors-cross-validation,"",https://github.com/tdhock/cs499-spring2019/blob/master/2019-01-17-nearest-neighbors/viz-4folds.R,4 fold cross-validation
+2025-01-21T10:53:52.485204Z,tdhock/2023-11-interval-regression-differences,"",https://github.com/tdhock/change-tutorial/blob/master/figure-differences-interactive.R,AIC/BIC change-point detection comparison using ROC curves
+2025-01-21T10:53:52.485204Z,tdhock/necromass-figure-one-network,"",https://github.com/tdhock/necromass/blob/main/figure-one-network.R,bacteria_fungi_conservative visualization
+2025-01-21T10:53:52.485204Z,EngineerDanny/EngineerDanny-necromass-figure-one-network,"",https://github.com/tdhock/necromass/blob/main/figure-one-network.Rmd,bacteria_fungi_conservative visualization
+2025-11-26T16:03:36.349539Z,ANAMASGARD/breakpoints,"",https://github.com/ANAMASGARD/breakpoints-viz-code/blob/main/breakpoints.R,breakpoints select multiple segmentation models
+2025-04-02T07:12:39.659806Z,suhaani-agarwal/tornado-visualization,https://vimeo.com/1072120042/29ea7f22a6,https://github.com/suhaani-agarwal/animint-paper/blob/master/examples/tornado/viz.R,US Tornado Visualization
+2025-04-10T10:28:55.939713Z,suhaani-agarwal/central-american-temperature-maps,https://vimeo.com/1087209965,http://github.com/suhaani-agarwal/animint-paper/blob/master/examples/climate/viz.R,Central American Temperature Maps
+2025-05-10T08:27:17.383153Z,suhaani-agarwal/WorldBank-paper,https://vimeo.com/1087206179,https://github.com/suhaani-agarwal/animint/blob/master/inst/examples/WorldBank-paper.R,World Bank data viz for Animint paper
+2025-05-10T09:38:53.120849Z,suhaani-agarwal/chip-seq-unaligned,https://vimeo.com/1087397034,https://github.com/suhaani-agarwal/animint-examples/blob/master/examples/chip.seq_unaligned.R,ChIP-seq Unaligned
+2025-05-24T17:25:30.026734Z,suhaani-agarwal/montreal-bikes-Jan2016,https://vimeo.com/1094315611,https://github.com/suhaani-agarwal/montreal-velos/blob/master/figure-timeseries.R,"Montreal cyclists and accidents, 2009-2014"
+2025-05-25T12:25:24.972280Z,suhaani-agarwal/Demo_Constrained_PDPA,"",https://github.com/suhaani-agarwal/PeakSegFPOP-paper/blob/master/figure-constrained-PDPA-normal-real.R,Demo of Constrained Pruned Dynamic Programming Algorithm
+2025-05-27T07:17:19.377055Z,suhaani-agarwal/figure-penaltyLearning,"",https://github.com/suhaani-agarwal/mmit-paper/blob/master/figure-penaltyLearning.R,"Cost/slack minimization over all feature thresholds, for building max margin interval tree models"
+2025-05-27T08:01:05.116130Z,suhaani-agarwal/intreg-BIC,"",https://github.com/suhaani-agarwal/animint/blob/master/inst/examples/intreg_BIC.R,Segmentation model selection with BIC
+2025-05-27T11:22:32.142369Z,suhaani-agarwal/Ch18-neural-networks-sim,"",https://github.com/suhaani-agarwal/animint-book/blob/master/Ch18-neural-networks-sim.R,Gradient descent for neural network and linear model
+2025-05-27T11:50:29.187449Z,suhaani-agarwal/figure-gradient-descent-regression,"",https://github.com/suhaani-agarwal/cs570-spring-2022/blob/master/figure-gradient-descent-regression.R,Gradient descent for regression
+2025-06-23T04:40:48.175167Z,biplab-sutradhar/climate-change-sensor-stations,"",https://github.com/biplab-sutradhar/climate-change-sensor-stations/blob/main/figure-stations.R,CRUTEM4 Temperature Sensor Stations
+2025-08-29T13:23:46.091420Z,tdhock/2025-08-29-LOPART-candidates-grid,"",https://github.com/tdhock/LOPART-paper/blob/master/figure-candidates-interactive.R,Labeled optimal partitioning (LOPART) algorithm for change-point detection with label constraints
+2025-08-26T07:19:01.288519Z,biplab-sutradhar/Data-viz-with-206-selectors,"",https://github.com/biplab-sutradhar/Data-viz-with-206-selectors/blob/gh-pages/PSJ.R,Animint compiler with for loops
+2025-06-18T08:46:23.746985Z,suhaani-agarwal/ROC-curve-alignment,"",https://github.com/suhaani-agarwal/max-generalized-auc/blob/master/figure-curveAlignment.R,Changepoint detection ROC curve alignment problem
+2025-08-25T13:41:41.008040Z,suhaani-agarwal/figure-loss-small-data,"",https://github.com/tdhock/changepoint-data-structure/blob/master/figure-loss-small-data.R,Changepoint model selection
+2025-11-15T15:24:19.490278Z,ANAMASGARD/dna-copy-number-large-margin,"",https://github.com/ANAMASGARD/dna-copy-number-viz-code/blob/main/intreg.R,Max-margin interval regression for supervised segmentation model selection
+2025-12-08T15:39:28.834598Z,ANAMASGARD/chip-seq-large-margin,"",https://github.com/ANAMASGARD/chip-seq-large-margin-code/blob/main/chip-seq-large-margin.R,Max-margin supervised penalty learning for peak detection in ChIP-seq data
\ No newline at end of file