jwcy0529

maddpg-pytorch

PyTorch Implementation of MADDPG (Lowe et. al. 2017)

MA-AIRL

Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.

turbulence-modeling-PIML

Data-driven Reynolds stress modeling with physics-informed machine learning

HPC-A

Numerical Simulation and Visualization of 2D Rayleigh--Bénard Convection [Qt, VTK, OpenFOAM]

machine-learning-turbulence

spearmint

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