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2d-lstm-seq2seq

PyTorch implementation of a 2D-LSTM Seq2Seq Model for NMT.

addict

The Python Dict that's better than heroin.

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。

daily-test

deeplearning-models

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

deepnlp-models-pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

fastai

The fastai deep learning library

gpt2-chitchat

GPT2 for Chinese chitchat/用于中文闲聊的GPT2模型(实现了DialoGPT的MMI**)

he2rna_code

Train a model to predict gene expression from histology slides.

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

linux-commands

Useful linux cmds

mark.github.io

mmdetection

OpenMMLab Detection Toolbox and Benchmark

protein-sequences-classification

Prediction of protein subcellular localization based on multilayer sparse coding

pytorch-best-practice

A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats

pytorch-dual-learning

Implementation of Dual Learning NMT on PyTorch

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

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

r2p

spacell

st-auxnet

st-net

Deep learning on histopathology images.

st_auxnet

tensorflow-multi-dimensional-lstm

Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf

test

toppaper

Classic papers for beginners, and impact scope for authors.

unsupervisedmt

Phrase-Based & Neural Unsupervised Machine Translation

vision_transformer

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch