SunQingYun1996

SunQingYun1996's Stars

• 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 Notebook18.4k3871515.4k

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.6k1772.8k3k

• openai/spinningup

  An educational resource to help anyone learn deep reinforcement learning.

  Language:Python10.3k2282862.2k

• garrettj403/SciencePlots

  Matplotlib styles for scientific plotting

  Language:Python7.2k6495714

• Machine-Learning-Tokyo/AI_Curriculum

  Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

  2.5k1615402

• benedekrozemberczki/karateclub

  Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

  Language:Python2.2k40121247

• BlankerL/DXY-COVID-19-Data

  2019新型冠状病毒疫情时间序列数据仓库 | COVID-19/2019-nCoV Infection Time Series Data Warehouse

  Language:Python2.2k66106704

• safe-graph/graph-fraud-detection-papers

  A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

  1.5k554260

• 3Top/word2vec-api

  Simple web service providing a word embedding model

  Language:Python1.4k5921354

• Jhy1993/HAN

  Heterogeneous Graph Neural Network

  Language:Python1.1k1259221

• safe-graph/graph-adversarial-learning-literature

  A curated list of adversarial attacks and defenses papers on graph-structured data.

  8363711132

• benedekrozemberczki/ClusterGCN

  A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

  Language:Python7872038136

• PetarV-/DGI

  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

  Language:Python6311219135

• EdisonLeeeee/Graph-Adversarial-Learning

  A curated collection of adversarial attack and defense on graph data.

  Language:Python56024379

• HongyangGao/Graph-U-Nets

  Pytorch implementation of Graph U-Nets (ICML19)

  Language:Python5201126101

• Hanjun-Dai/graph_comb_opt

  Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"

  Language:C++4961833135

• zhangchuheng123/Reinforcement-Implementation

  Implementation of benchmark RL algorithms

  Language:Python46014382

• jiangqn/Aspect-Based-Sentiment-Analysis

  A paper list for aspect based sentiment analysis.

  45114182

• SivilTaram/Graph-Neural-Network-Note

  A blog for understanding graph neural network

  40719440

• Hanjun-Dai/pytorch_structure2vec

  pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)

  Language:Python30892476

• Hanjun-Dai/graphnn

  Training computational graph on top of structured data (string, graph, etc)

  Language:C++288143391

• ngarneau/understanding-pytorch-batching-lstm

  Understanding and visualizing PyTorch Batching with LSTM

  Language:Jupyter Notebook1391223

• Hanjun-Dai/graph_adversarial_attack

  Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)

  Language:Python1274833

• beckdaniel/acl2018_graph2seq

  Code for "Graph-to-Sequence Learning using Gated Graph Neural Networks"

  Language:Python1237321

• mnqu/PTE

  Language:C++966432

• neozhangthe1/disambiguation

  Language:Python9081041

• chengaopro/AdversarialNAS

  [CVPR 2020] Code for paper "AdversarialNAS: Adversarial Neural Architecture Search for GANs".

  Language:Python7212611

• TachiChan/IJCAI2019_HGAT

  Semi-supervised User Profiling with Heterogeneous Graph Attention Networks, IJCAI 2019.

  Language:Python481611

• AndyYue1893/Hands-On-Reinforcement-Learning-With-Python

  Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

  Language:Jupyter Notebook271011

• pkuvis/COVID-19

  Language:Python3902