rezaakb / pinns-jax
PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.
☆37Updated 5 months ago
Alternatives and similar repositories for pinns-jax:
Users that are interested in pinns-jax are comparing it to the libraries listed below
- Example problems in Physics informed neural network in JAX☆78Updated last year
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆59Updated 3 months ago
- This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…☆18Updated 3 months ago
- Pseudospectral Kolmogorov Flow Solver☆37Updated last year
- Update PDEKoopman code to Tensorflow 2☆22Updated 3 years ago
- ☆22Updated 7 months ago
- Differentiable interface to FEniCS for JAX☆52Updated 3 years ago
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆61Updated last month
- ☆40Updated 4 years ago
- Spectral Neural Operator☆75Updated last year
- To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…☆45Updated 2 years ago
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆36Updated 3 months ago
- A library for dimensionality reduction on spatial-temporal PDE☆63Updated 10 months 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
- JAX-DIPS is a differentiable interfacial PDE solver.☆41Updated 5 months ago
- ☆37Updated 2 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆54Updated 2 years ago
- A Python library for training neural ODEs.☆20Updated this week
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆114Updated 2 years ago
- Transformers for modeling physical systems☆134Updated last year
- ☆88Updated 3 years ago
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆36Updated last year
- Neural Galerkin☆15Updated last year
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆55Updated 4 years ago
- Material for workshop and autumn school on scientific machine learning 2023☆19Updated last year
- hPINN: Physics-informed neural networks with hard constraints☆123Updated 3 years ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆25Updated 3 months ago
- Differential equation neural operator☆20Updated last year
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆23Updated 6 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆91Updated 2 years ago