LeeNFTR's repositories
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
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
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-refactoring
A refactored version of kimiyoung / transformer-xl/tf