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Numerical Simulation and Visualization of 2D Rayleigh--Bénard Convection [Qt, VTK, OpenFOAM]
Implementations of selected inverse reinforcement learning algorithms.
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
Reduced order modelling techniques for OpenFOAM
Repository for the open-source lethe CFD/DEM/CFD-DEM project
A library for wall-modelled Large-Eddy Simulation in OpenFOAM.
M-CURL: Masked Contrastive Representation Learning for Reinforcement Learning
Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.
Examples of how to use machine learning algorithms in computational fluid dynamics.
PyTorch Implementation of MADDPG (Lowe et. al. 2017)
Paper list of multi-agent reinforcement learning (MARL)
Repository for data and scripts of "Automating Turbulence Modeling by Multi-Agent Reinforcement Learning"
Machine learning to predict Reynolds stresses in a transitional boundary layer fluid flow
Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"
OpenFOAM simulations of transonic shock buffets at a NACA-0012 airfoil
A Python module implementing some standard algorithms used in nonlinear time series analysis
PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.
This is the official implementation of Multi-Agent PPO (MAPPO).
OpenFOAM cases from my YouTube channel
OpenFoam + HiSA installation and compilation + PyTorch(C++) installation.
克隆至:https://gitee.com/poplee/openFoamUserManual
An implementation of Phasic Policy Gradient, a proposed improvement of Proximal Policy Gradients, in Pytorch
Python Dynamic Mode Decomposition
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012
Trading Environment(OpenAI Gym) + PPO(TensorForce)
Using PyTorch within OpenFOAM
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.