꼼꼼한 딥러닝 논문 리뷰와 코드 실습

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

Open source applied machine learning course

Understanding and training pytorch from scratch

Collection of machine learning projects

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Improvement of popular PyTorch tutorials in version 1.0.1

Quiz & Assignment of Coursera

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

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.

PyTorch Tutorial for Deep Learning Researchers

Building models for Optical Character Recognition

Companion webpage to the book "Mathematics For Machine Learning"

Arbitrary Shaped Text Detection

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

Make tensorflow more practical and less magical

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

🧠 Material for the Deep Learning Study Group

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