dynamicslab / hydrogym
An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.
☆70Updated this week
Alternatives and similar repositories for hydrogym:
Users that are interested in hydrogym are comparing it to the libraries listed below
- Example problems in Physics informed neural network in JAX☆80Updated last year
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆65Updated 5 months ago
- Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.☆64Updated 4 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆56Updated 4 years ago
- PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.☆46Updated 7 months ago
- Transformers for modeling physical systems☆136Updated last year
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆54Updated 2 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
- ☆55Updated last year
- ☆41Updated 4 years ago
- This gym provides implementations of various PDEs for easy testing and comparison of data-driven and classical PDE control algorithms.☆25Updated 2 weeks ago
- Data-driven reduced order modeling for nonlinear dynamical systems☆20Updated last week
- Pseudospectral Kolmogorov Flow Solver☆38Updated last year
- 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
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆142Updated 3 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆64Updated last year
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆45Updated last year
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆72Updated this week
- This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…☆18Updated 5 months ago
- Data-driven reduced order modeling for nonlinear dynamical systems☆66Updated this week
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆75Updated 2 years ago
- The public repository about our joint FINN research project☆36Updated 2 years ago
- PyTorch-FEniCS interface☆100Updated 4 years ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆21Updated last month
- A package for the sparse identification of nonlinear dynamical systems from data☆11Updated 5 years ago
- Deep reinforcement learning with OpenFOAM☆41Updated last year
- Differentiable Fluid Dynamics Package☆391Updated last week
- A general-purpose Python package for Koopman theory using deep learning.☆97Updated 2 months ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆36Updated 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…☆47Updated 2 years ago