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albert

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

autoencoder

Text autoencoder with LSTMs

d2l-pytorch

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

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearningexamples

Deep Learning Examples

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

lhy_dl_hw

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

mechanical-fault-diagnosis-based-on-deep-learning

CNN for mechanical fault diagnosis

nlp

NLP

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

rul-net

Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine

rul_of_cutter

刀具剩余寿命预测

test

time_series_transformers

Time series forecast using deep learning transformers (simple, XL, compressive). Implementation in Pytorch and Pytorch Lightning.

transformer-in-pytorch

Transformer/Transformer-XL/R-Transformer examples and explanations

transformer-xl

transformer-xl-refactoring

A refactored version of kimiyoung / transformer-xl/tf