꼼꼼한 딥러닝 논문 리뷰와 코드 실습

Understanding and training pytorch from scratch

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

Arbitrary Shaped Text Detection

Companion webpage to the book "Mathematics For Machine Learning"

PyTorch Tutorial for Deep Learning Researchers

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

Open source applied machine learning course

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

Quiz & Assignment of Coursera

Improvement of popular PyTorch tutorials in version 1.0.1

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.

Collection of machine learning projects

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

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

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

Some basic examples with keras

Make tensorflow more practical and less magical

Building models for Optical Character Recognition