Xingjian Chen's repositories
pytorch-multi-gpu-training
整理 pytorch 单机多 GPU 训练方法与原理
pytorch-widedeep
A flexible package to combine tabular data with text and images using Wide and Deep models in Pytorch
UnsupervisedMT
Phrase-Based & Neural Unsupervised Machine Translation
mmdetection
OpenMMLab Detection Toolbox and Benchmark
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Linux-Commands
Useful linux cmds
fastai
The fastai deep learning library
deeplearning-models
A collection of various deep learning architectures, models, and tips
TopPaper
Classic papers for beginners, and impact scope for authors.
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。
HE2RNA_code
Train a model to predict gene expression from histology slides.
GPT2-chitchat
GPT2 for Chinese chitchat/用于中文闲聊的GPT2模型(实现了DialoGPT的MMI**)
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
addict
The Python Dict that's better than heroin.
pytorch-best-practice
A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats
ST-Net
Deep learning on histopathology images.
tensorflow-multi-dimensional-lstm
Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf
Protein-Sequences-Classification
Prediction of protein subcellular localization based on multilayer sparse coding
DeepNLP-models-Pytorch
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
2D-LSTM-Seq2Seq
PyTorch implementation of a 2D-LSTM Seq2Seq Model for NMT.