coodest

AlphaGo

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

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

Babylon.js

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

bezier-curved-edges-networkx

Function to produce Bezier curves for the edges in a NetworkX graph

cleanrl

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

decision-transformer

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

deeplearning-with-tensorflow-notes

《TensorFlow深度学习》学习笔记及代码，采用TensorFlow2.0.0版本

docker_for_blender

environment to run blender in shared volumes

highwayRL

coodest/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.

coodest/highwayRL

coodest/awesome-graph-embedding

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

coodest/Babylon.js

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

coodest/bezier-curved-edges-networkx

Function to produce Bezier curves for the edges in a NetworkX graph

coodest/cleanrl

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

coodest/decision-transformer

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

coodest/deeplearning-with-tensorflow-notes

《TensorFlow深度学习》学习笔记及代码，采用TensorFlow2.0.0版本

coodest/docker_for_blender

environment to run blender in shared volumes

coodest/docker_for_seed_rl

coodest/Embedding_visualization

coodest/FLAG

Adversarial Data Augmentation for Graph Neural Networks.

coodest/GAM

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

coodest/GAug

AAAI'21: Data Augmentation for Graph Neural Networks

coodest/GCA

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

coodest/Graph-Convolutional-Networks-for-Relational-Link-Prediction

coodest/graph_nets

Build Graph Nets in Tensorflow

coodest/GraphEmbedding

Implementation and experiments of graph embedding algorithms.

coodest/HGT-DGL

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

coodest/MuZero

A structured implementation of MuZero

coodest/NetLSD

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

coodest/Pointnet_Pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

coodest/pyHGT

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

coodest/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

coodest/pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

coodest/RGCN

Pytorch implementation of a RGCN Link Prediction Model

coodest/SparkDataRequestor

coodest/tianshou

An elegant PyTorch deep reinforcement learning library.

coodest/vFramePlayer

序列帧图片播放插件，支持通过Canvas播放，可控制播放速度，可循环播放，甚至倒序播放。

coodest/wikipedia2vec

A tool for learning vector representations of words and entities from Wikipedia