PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.
☆75Sep 10, 2024Updated last year
Alternatives and similar repositories for pinns-jax
Users that are interested in pinns-jax are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆944Feb 8, 2026Updated 7 months ago
- ☆28Updated this week
- ☆46Mar 4, 2025Updated last year
- ☆34Mar 14, 2025Updated last year
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆13Oct 14, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- PyQBMMlib is a Python extension of QBMMlib☆10Apr 13, 2026Updated 4 months ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆576May 29, 2026Updated 3 months ago
- Official implementation of *A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs*☆20Mar 4, 2023Updated 3 years ago
- [NeurIPS 2023 Spotlight] Separable Physics-Informed Neural Networks☆93Oct 25, 2023Updated 2 years ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆10Sep 4, 2025Updated last year
- ☆19May 13, 2026Updated 3 months ago
- A carefully curated collection of high-quality libraries, projects, tutorials, research papers, and other essential resources focused on …☆137Updated this week
- ☆442Nov 14, 2025Updated 9 months ago
- Folax (Finite Operator Learning with JAX) is a framework for solving and optimizing PDEs by integrating machine learning with numerical m…☆25Aug 19, 2026Updated 2 weeks ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Repository for Deterministic Particle Flow Control framework☆10Nov 13, 2022Updated 3 years ago
- Graph-based operator learning in arbitrary geometries☆44Dec 19, 2025Updated 8 months ago
- A MAC (Marker-And-Cell) solver written in Taichi☆10Aug 30, 2022Updated 4 years ago
- ☆311Sep 14, 2024Updated last year
- Programs modeled after "Numerical Methods for Engineers" by D.V. Griffiths and I.M. Smith☆14Apr 11, 2022Updated 4 years ago
- Python implementation of Underdamped Langevin Inference, a method to infer the dynamical equation of underdamped stochastic systems from …☆17Jun 20, 2025Updated last year
- ☆16Oct 29, 2023Updated 2 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆86Apr 24, 2025Updated last year
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆6,131Feb 11, 2026Updated 6 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Naïve implementations of some Krylov subspace methods without preconditioning☆22Feb 27, 2019Updated 7 years ago
- SE-PINN: Solving the Schrödinger Equation via Physics-Informed Machine Learning☆11Dec 17, 2025Updated 8 months ago
- A library for scientific machine learning and physics-informed learning☆4,412Aug 18, 2026Updated 3 weeks ago
- Repository for some of the experiments presented in the paper "Deep Learning Alternatives of the Kolmogorov Superposition Theorem", Spotl…☆22Mar 28, 2025Updated last year
- ☆22Aug 31, 2026Updated last week
- 1D3V Particle in Cell Code in JAX☆32Aug 27, 2026Updated last week
- Workshop on designing efficient and scalable physics-informed neural networks with JAX☆71Nov 27, 2025Updated 9 months ago
- ☆18Jul 29, 2024Updated 2 years ago
- This repository contains the code for coupling FEniCS with Physics-Informed DeepONet☆23Mar 28, 2026Updated 5 months ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Kolmogorov-Arnold Networks (KAN) using Jacobi polynomials instead of B-splines.☆39May 9, 2024Updated 2 years ago
- Dynamical Systems with JAX☆12Jun 3, 2026Updated 3 months ago
- Fast, minimally-invasive neural network inference library☆22Feb 10, 2025Updated last year
- This is a mirror of https://i10git.cs.fau.de/pycodegen/lbmpy. Use the gitlab page to create issues and merge requests.☆32Jun 20, 2025Updated last year
- Efficiently solve the 2D heat equation using a Physics-Informed Neural Network (PINN). Simulate and predict temperature distributions wit…☆11Dec 15, 2023Updated 2 years ago
- This repository consists of two-step training DeepONet code.☆13May 22, 2024Updated 2 years ago
- [TMLR 2025] Mesh-Informed Neural Operator : A Transformer Generative Approach☆19Jun 1, 2026Updated 3 months ago