BrainGB

深度学习入门教程, 优秀文章, Deep Learning Tutorial

该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记

A distributed graph deep learning framework.

Next RecSys Library

An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

resources for graph convolutional networks （图卷积神经网络相关资源）

Learning to Cluster Faces (CVPR 2019, CVPR 2020)

More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and (cbam，dcn and so on), and tensorrt

Hierarchical Graph Pooling with Structure Learning

1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.