深度学习入门教程, 优秀文章, Deep Learning Tutorial
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Updated
Apr 21, 2022 - Jupyter Notebook
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.
StellarGraph - Machine Learning on Graphs
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)
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Next RecSys Library
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
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
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Learning to Cluster Faces (CVPR 2019, CVPR 2020)
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
resources for graph convolutional networks (图卷积神经网络相关资源)
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 PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
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