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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
StellarGraph - Machine Learning on Graphs
A distributed graph deep learning framework.
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
《深入浅出图神经网络:GNN原理解析》配套代码
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
resources for graph convolutional networks (图卷积神经网络相关资源)
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
常用的语义分割架构结构综述以及代码复现 华为媒体研究院 图文Caption、OCR识别、图视文多模态理解与生成相关方向工作或实习欢迎咨询 15757172165 https://guanfuchen.github.io/media/hw_zhaopin_20220724_tiny.jpg
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
A repository of pretty cool datasets that I collected for network science and machine learning research.