ml-training

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Here are 32 public repositories matching this topic...

mosaicml / composer

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Supercharge Your Model Training

machine-learning deep-learning neural-network pytorch neural-networks ml-training ml-systems ml-efficiency

Updated Nov 12, 2025
Python

NVIDIA / aistore

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AIStore: scalable storage for AI applications

kubernetes high-performance distributed-storage high-availability object-storage multi-cloud batch-jobs s3-compatible multipart-upload ml-training linear-scalability etl-offload

Updated Jan 10, 2026
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utsaslab / MONeT

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MONeT framework for reducing memory consumption of DNN training

machine-learning deep-neural-networks dnn pytorch memory-consumption dnn-training ml-training

Updated May 4, 2021
Python

RitechSolutions / genassist

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GenAssist combines orchestration, runtime, analytics, and learning — in one open platform.

ai conversation-ai ml-training llm llm-finetuning agentic-workflow agentic-ai multi-ai-providers

Updated Jan 10, 2026
Python

entrpn / serving-model-cards

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Collection of OSS models that are containerized into a serving container

machine-learning gcp ml dataflow clip blip machine-learning-models esrgan huggingface ml-serving t5 ml-training huggingface-transformers hugging-face vertex-ai vertexai stable-diffusion huggingface-diffusers dreambooth

Updated Sep 19, 2023
Python

willyfh / mlops-workflow

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An MLOps workflow for training, inference, experiment tracking, model registry, and deployment.

machine-learning deployment postgresql pytorch minio mlops mlflow fastapi experiment-tracking ml-training ml-inference

Updated Nov 24, 2025
Python

Beamline is a tool for fast data generation for your AI/LLM/ML model training, simulation, and testing use-cases. It generates reproducible pseudo-random data using a stochastic approach and probability distributions, meaning you can create realistic datasets that follow specific mathematical patterns.

testing simulation fuzz-testing stochastic-processes query-generator ml-training llm-training model-training-and-tuning

Updated Jan 8, 2026
Rust

bodywork-ml / bodywork-pipeline-with-aporia-monitoring

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Integrating Aporia ML model monitoring into a Bodywork serving pipeline.

python kubernetes machine-learning mlops ml-serving ml-training ml-monitoring

Updated Jun 20, 2022
Jupyter Notebook

MisterZurg / academy_yandex_Machine-Learning-Training

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⌨️ Solutions to Academy Yandex "Тренировки по Machine Learning"

nlp yandex ml shad ml-training yandex-training

Updated Oct 2, 2024
Python

supermarsx / smart-pdf-md

Sponsor

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Smart Script to Mass Convert PDF .pdf to Markdown .md

python training windows macos linux markdown pdf machine-learning ai script gpt knowledge-base marker file-conversion md ml-training llm custom-gpt

Updated Jan 8, 2026
Python

davidliyutong / mlflow-docker

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Self-Hosted MLFlow Docker Image with MySQL and S3 support

docker mlflow ml-training

Updated Jun 20, 2024
Shell

maryamsoftdev / Train_Test_data_in_ML

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learning python day 4

python machine-learning numpy sklearn ml testdata training-data polyfit ml-training ml-testing

Updated Mar 15, 2024
Python

olaoluthomas / prop_train

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Propensity model training with XGBoost

machine-learning xgboost ml-training xgboost-classification-model vertex-ai propensity-modeling

Updated Sep 10, 2024
Python

mrseanryan / csfy

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Train a simple text classifier and predict labels - supports ONNX output for performance, language-neutral

classifier ml classifier-model classification-model ml-training

Updated Jun 24, 2024
Python

crate / mlflow-cratedb

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MLflow adapter for CrateDB.

machine-learning cratedb model-training machine-learning-training mlflow mlflow-server ml-models ml-training mlflow-tracking mlflow-compatible cratedb-driver cratedb-client cratedb-cloud model-tracking cratedb-connector cratedb-integration mlflow-storage

Updated Dec 1, 2025
Python

Ehyaei / CAPIFY

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This project Implements the paper “Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces” using the Python language.

causality fairness robustness ml-training