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alphagozero icon alphagozero

Congratulation to DeepMind! This is a trial implementation (on behalf of many other git repo in /support/) of DeepMind's Oct19th publication: [Mastering the Game of Go without Human Knowledge]. The supervised learning approach is more practical for individuals.

awesome-graph-embedding icon awesome-graph-embedding

A collection of important graph embedding, classification and representation learning papers with implementations.

babylon.js icon babylon.js

Babylon.js: a complete JavaScript framework for building 3D games with HTML 5 and WebGL

cleanrl icon cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

decision-transformer icon decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

flag icon flag

Adversarial Data Augmentation for Graph Neural Networks.

gam icon gam

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

gaug icon gaug

AAAI'21: Data Augmentation for Graph Neural Networks

gca icon gca

[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

hgt-dgl icon hgt-dgl

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)

muzero icon muzero

A structured implementation of MuZero

netlsd icon netlsd

NetLSD descriptors for graphs. Compare and analyze graph structure on multiple levels!

pyhgt icon pyhgt

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

rgcn icon rgcn

Pytorch implementation of a RGCN Link Prediction Model

tianshou icon tianshou

An elegant PyTorch deep reinforcement learning library.

transplanter icon transplanter

A tool for running C/C++, python, and matlab coding in Java Environment

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