dynamicslab / hydrogymLinks
An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.
☆71Updated this week
Alternatives and similar repositories for hydrogym
Users that are interested in hydrogym are comparing it to the libraries listed below
Sorting:
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆56Updated 4 years ago
- Example problems in Physics informed neural network in JAX☆80Updated last year
- Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.☆65Updated 4 years ago
- PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.☆48Updated 8 months ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆73Updated 2 weeks ago
- Pseudospectral Kolmogorov Flow Solver☆40Updated last year
- This gym provides implementations of various PDEs for easy testing and comparison of data-driven and classical PDE control algorithms.☆26Updated 3 weeks ago
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆52Updated last year
- Data-driven reduced order modeling for nonlinear dynamical systems☆30Updated 2 weeks ago
- ☆41Updated 5 years ago
- ☆97Updated 3 years ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆53Updated 4 months ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆72Updated last month
- Transformers for modeling physical systems☆140Updated last year
- Deep reinforcement learning to perform shape optimization☆66Updated 3 years ago
- PyTorch-FEniCS interface☆101Updated 4 years ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 2 years ago
- To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…☆49Updated 2 years ago
- flowTorch - a Python library for analysis and reduced-order modeling of fluid flows☆152Updated 2 months ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆55Updated 3 years ago
- JAX-DIPS is a differentiable interfacial PDE solver.☆44Updated 8 months ago
- A package for the sparse identification of nonlinear dynamical systems from data☆11Updated 5 years ago
- The code used, and a docker image to run it, of the paper `Exploiting locality and physical invariants to design effective Deep Reinforce…☆13Updated 5 years ago
- An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification☆32Updated 3 months ago
- Easy Reduced Basis method☆85Updated 3 months ago
- Differentiable interface to FEniCS for JAX☆54Updated 4 years ago
- Data-driven reduced order modeling for nonlinear dynamical systems☆79Updated last month
- ☆26Updated 10 months ago
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆29Updated 7 months ago