shengyupei Goto Github PK
Name: Shengyu Pei
Type: User
Name: Shengyu Pei
Type: User
Generative Adversarial Network, Code in Tensorflow.
Various implementations of Generative adversarial networks using Pytorch
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
The code of Graph Attention Networks for Cora, Citeseer, Pubmed and PPI
Code to accompany the paper "Learning Graphical State Transitions"
Implementation of Graph Convolutional Networks in TensorFlow
Graph Convolution Network for PyTorch
关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记
PyTorch implementation of "Image-Conditioned Graph Generation for Road Network Extraction"
Graph Markov Neural Networks
gnn explainer
Must-read papers on graph neural networks (GNN)
Google AI Research
Implementation of MoNet (mixture model CNN) and GAT (Graph Attention Network) tested on MNIST and Cora datasets using Tensorflow 2.0.
All materials related tp GNN
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
Representation learning on large graphs using stochastic graph convolutions.
A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
Watching You: Global-guided Reciprocal Learning for Video-based Person Re-identification
Learning Multi-Attention Context Graph for Group-Based Re-Identification
Source code and datasets for the paper "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification" (IJCAI-19)
[CVPR2020] High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification
High-level library to help with training neural networks in PyTorch
Implementation "Intra-Inter Camera Similarity for Unsupervised Person Re-Identification" in pytorch (CVPR2021)
[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
(CVPR-Oral 2021) PyTorch implementation of Knowledge Evolution approach and Split-Nets
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.