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a-predictive-hybrid-rom-model-based-on-proper-orthogonal-decomposition-with-dl-architectures

Code of the paper: "A predictive hybrid reduced order model based on proper orthogonal decomposition combined with deep learning architectures"

arp-dmdp-ppo

Active flow control using deep reinforcement learning with time delays in Markov decision process and autoregressive policy

cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

cylinder2dflowcontroldrl

code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning

cylinder2dflowcontrolgeneral

Robust active flow control over a range of Reynolds numbers using artificial neural network trained through deep reinforcement learning

databerry

The no-code platform for connecting custom data to large language models

dmand-rl-kse

Demo Code for DManD-RL Applied to the Kuramoto-Sivashinsky Equation

drlfluent

DRLFluent: a distributed co-simulation framework coupling reinfocement learning and computational fluids dynamics on HPC.

drlinfluids

fkb

A two-way deep learning bridge between Keras and Fortran

marl

Multi-agent reinforcement learning framework

marl_les

Repository for data and scripts of "Automating Turbulence Modeling by Multi-Agent Reinforcement Learning"

pvgeo

🌍 Python package of VTK-based algorithms to analyze geoscientific data and models

pybind11

Seamless operability between C++11 and Python

pysindy

A package for the sparse identification of nonlinear dynamical systems from data

python

All Algorithms implemented in Python

relexi

This is the repository for Relexi, a scalable reinforcement learning framework for CFD on HPC systems

rl_control_nek5000

sindyautoencoders

smarties

Lightweight and scalable framework for Reinforcement Learning

star-ccm-automation-batch-script

Meshes and Runs all .sim files in directory and sends Pushbullet notification on finish.