anikettut

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

Improvement of popular PyTorch tutorials in version 1.0.1

Collection of machine learning projects

Some basic examples with keras

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.

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

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

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

Quiz & Assignment of Coursera

Open source applied machine learning course

PyTorch Tutorial for Deep Learning Researchers

Building models for Optical Character Recognition

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

Understanding and training pytorch from scratch

Companion webpage to the book "Mathematics For Machine Learning"

Arbitrary Shaped Text Detection

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

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

Make tensorflow more practical and less magical