Yamguocheng

Yamguocheng's Stars

• inyeoplee77/SAGPool

  Official PyTorch Implementation of SAGPool - ICML 2019

  Language:Python36780

• crowdbotp/socialways

  Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)

  Language:Python12347

• aravindsankar28/DySAT

  Representation learning on dynamic graphs using self-attention networks

  Language:Python28543

• AnkerLeng/Cpp-0-1-Resource

  C++ 匠心之作 从0到1入门资料

  Language:C++3.2k1.2k

• StanfordASL/Trajectron

  Code accompanying "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs" by Boris Ivanovic and Marco Pavone.

  Language:Jupyter Notebook13540

• zergtant/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

  Language:Jupyter Notebook20.5k5.4k

• Snailclimb/JavaGuide

  「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

  Language:Java148k45.7k

• agrimgupta92/sgan

  Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

  Language:Python838264

• Diego999/pyGAT

  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

  Language:Python2.9k691

• nndl/nndl.github.io

  《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

  Language:HTML17.5k3.6k

• ShiYaya/graph

  5314

• TrustAGI-Lab/Awesome-Graph-Neural-Networks

  Paper Lists for Graph Neural Networks

  2.2k387

• jwyang/graph-rcnn.pytorch

  [ECCV 2018] Official code for "Graph R-CNN for Scene Graph Generation"

  Language:Python732157

• ShusenTang/Dive-into-DL-PyTorch

  本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

  Language:Jupyter Notebook18.5k5.4k

• huang-xx/TrafficPredict

  Pytorch implementation for "TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents"

  Language:Python10941

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  16.1k3k

• Jiakui/awesome-gcn

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

  880132

• dragen1860/Deep-Learning-with-PyTorch-Tutorials

  深度学习与PyTorch入门实战视频教程 配套源代码和PPT

  Language:Python2.9k1.3k

• mashangxue/tensorflow2-zh

  TensorFlow2.0 官方教程翻译，基本概念讲解、实战项目、TensorFlow2.0编程技巧。

  200531

• nndl/exercise

  exercise for nndl

  Language:Jupyter Notebook3.2k1.4k

• yidao620c/python3-cookbook

  《Python Cookbook》 3rd Edition Translation

  Language:Jupyter Notebook11.8k3k