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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.
A collection of important graph embedding, classification and representation learning papers with implementations.
Babylon.js: a complete JavaScript framework for building 3D games with HTML 5 and WebGL
Function to produce Bezier curves for the edges in a NetworkX graph
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
《TensorFlow深度学习》学习笔记及代码,采用TensorFlow2.0.0版本
environment to run blender in shared volumes
Adversarial Data Augmentation for Graph Neural Networks.
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
AAAI'21: Data Augmentation for Graph Neural Networks
[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
Build Graph Nets in Tensorflow
Implementation and experiments of graph embedding algorithms.
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)
A structured implementation of MuZero
NetLSD descriptors for graphs. Compare and analyze graph structure on multiple levels!
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Geometric Deep Learning Extension Library for PyTorch
Pytorch implementation of a RGCN Link Prediction Model
An elegant PyTorch deep reinforcement learning library.
A tool for running C/C++, python, and matlab coding in Java Environment
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.