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

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。

links to conference publications in graph-based deep learning

北京知识图谱学习小组

tensorflow implementation

JULYEDU PyTorch Course

PyTorch Implementation for "TransPose: Keypoint localization via Transformer", ICCV 2021.

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

给研一同学的NLP入门指南

Source codes and datasets for EMNLP 2020 paper "Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph"

推荐系统读书笔记、思维导图等

Sim-to-Real via Sim-to-Sim using fast.ai's U-net