꼼꼼한 딥러닝 논문 리뷰와 코드 실습

Understanding and training pytorch from scratch

Make tensorflow more practical and less magical

PyTorch Tutorial for Deep Learning Researchers

💭 CS598 / IE534: Deep Learning in Fall 2018, University of Illinois at Urbana-Champaign

Some basic examples with keras

Collection of machine learning projects

Some advanced keras usage, like self-defined layer, seq_to_seq, unpooling, crf...

Building models for Optical Character Recognition

Arbitrary Shaped Text Detection

This repository is the official implementation of Semantic-based Scene Text Detector(STD for short), a new scene text detection method, inspired by the idea of CSP, which is used on Pedestrian Detection.

Companion webpage to the book "Mathematics For Machine Learning"

Implementation of the paper "Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network"

Quiz & Assignment of Coursera

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

An implementation of deep learning approaches for text detection in still images and video

Open source applied machine learning course

OCR, CNN+LSTM (CTPN) for image text detection, tensorflow

🧠 Material for the Deep Learning Study Group