IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
☆250Oct 21, 2024Updated last year
Alternatives and similar repositories for idrlnet
Users that are interested in idrlnet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆118Mar 1, 2022Updated 4 years ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,532Dec 8, 2023Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆91Jan 24, 2021Updated 5 years ago
- A place to share problems solved with SciANN☆311Nov 6, 2023Updated 2 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆368Dec 20, 2023Updated 2 years ago
- 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.
- A library for scientific machine learning and physics-informed learning☆4,369Jul 27, 2026Updated 2 weeks ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆230Feb 21, 2023Updated 3 years ago
- Physics-informed neural network for solving fluid dynamics problems☆284Jan 28, 2021Updated 5 years ago
- Physics-informed neural networks package☆347Jul 20, 2022Updated 4 years ago
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,213Updated this week
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆145Oct 24, 2025Updated 9 months ago
- ☆222Feb 16, 2024Updated 2 years ago
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Sep 1, 2022Updated 3 years ago
- PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks☆316Feb 9, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆790Apr 22, 2026Updated 3 months ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆206Apr 7, 2024Updated 2 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Jul 23, 2020Updated 6 years ago
- physics-informed neural network for elastodynamics problem☆163Jan 20, 2022Updated 4 years ago
- POD-PINN code and manuscript☆61Nov 10, 2024Updated last year
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆6,087Feb 11, 2026Updated 6 months ago
- ☆13Jan 6, 2023Updated 3 years ago
- PyTorch Implementation of Physics-informed Neural Networks☆720May 20, 2024Updated 2 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Investigating PINNs☆777Aug 13, 2021Updated 5 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆114Apr 15, 2022Updated 4 years ago
- Physics-Informed Neural networks for Advanced modeling☆788Aug 1, 2026Updated 2 weeks ago
- ☆271Oct 14, 2021Updated 4 years ago
- ☆426Dec 3, 2022Updated 3 years ago
- [NeurIPS 2024] Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆449Jul 24, 2026Updated 3 weeks ago
- Physics-informed neural networks with hard constraints for inverse design☆162Nov 21, 2021Updated 4 years ago
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆185May 30, 2026Updated 2 months ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆155Oct 18, 2019Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆63Jan 25, 2022Updated 4 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆266Nov 30, 2023Updated 2 years ago
- ☆10Mar 31, 2021Updated 5 years ago
- PINN program for computational mechanics☆149Apr 1, 2024Updated 2 years ago
- ☆117Oct 16, 2021Updated 4 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆270Feb 1, 2023Updated 3 years ago
- A repository for solving heat equation in a rectangular fin with Physics Informed Neural Networks and Surrogate Models.☆13Dec 12, 2022Updated 3 years ago