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cvpr2022-paper-code-interpretation

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

dagcn

This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

gnnpapers

Must-read papers on graph neural networks (GNN)

meta-gnn

mit-18.06-linalg-notes

MIT 18.06 线性代数笔记

mtagn

The PyTorch implementation for multi-task attention guided network (MTAGN) in End to End Multi-task learning with Attention for Multi-objective Fault Diagnosis under Small Sample

phmgnnbenchmark

this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.

planetoid

Semi-supervised learning with graph embeddings

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_dgcnn

PyTorch implementation of DGCNN

udtl

Source codes for the paper "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study" published in TIM