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Code for the ICLR 2020 paper "Learning to Control PDEs"
A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
Progressively Grown Deep Image Prior
A differentiable PDE solving framework for machine learning
The project is a platform of zero learning with a library of games.
Repository for tutorial sessions at EEML2020
This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).
Python Multi-Agent Reinforcement Learning framework
Python Data Science Handbook: full text in Jupyter Notebooks
Deep Learning (with PyTorch)
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks. Work in progress.
Introduction to Python Tutorial at SciPy 2020
Learn Python through Data Processing in Pandas Tutorial
Website for Security and Privacy of Machine Learning
A scikit-learn compatible Python toolbox for learning with time series data
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
SMAC: The StarCraft Multi-Agent Challenge
Sparse Physics-based and Interpretable Neural Networks
Implementations of QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
Source code for the SIGGRAPH paper "tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow"
A platform that lets you build agents to learn to play StarCraft: Brood War.
Mirror job management tool.
A tutorial for widgets
Variational Neural Networks for the Solution of Partial Differential Equations
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.