Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
☆6,209Feb 11, 2026Updated 8 months ago
Alternatives and similar repositories for PINNs
Users that are interested in PINNs are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A library for scientific machine learning and physics-informed learning☆4,471Aug 18, 2026Updated 2 months ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,554Dec 8, 2023Updated 2 years ago
- Investigating PINNs☆786Aug 13, 2021Updated 5 years ago
- PyTorch Implementation of Physics-informed Neural Networks☆724May 20, 2024Updated 2 years ago
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆962Feb 8, 2026Updated 8 months 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.
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆267Nov 30, 2023Updated 2 years ago
- Hidden Fluid Mechanics☆372Jan 30, 2023Updated 3 years ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆688Sep 12, 2026Updated last month
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆382Jul 5, 2024Updated 2 years ago
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆293Jul 30, 2022Updated 4 years ago
- Learning in infinite dimension with neural operators.☆3,960Updated this week
- Physics-informed neural network for solving fluid dynamics problems☆294Jan 28, 2021Updated 5 years ago
- Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators☆853Jun 25, 2022Updated 4 years ago
- A place to share problems solved with SciANN☆311Nov 6, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆274Oct 14, 2021Updated 5 years ago
- Physics-informed neural networks package☆348Jul 20, 2022Updated 4 years ago
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,235Updated this week
- Deep learning for Engineers - Physics Informed Deep Learning☆368Dec 20, 2023Updated 2 years ago
- ☆432Dec 3, 2022Updated 3 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆301Oct 12, 2021Updated 5 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆271Feb 1, 2023Updated 3 years ago
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆790Apr 22, 2026Updated 5 months ago
- [NeurIPS 2024] Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆455Jul 24, 2026Updated 2 months 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.
- Physics-Informed Neural networks for Advanced modeling☆798Updated this week
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆577May 29, 2026Updated 4 months ago
- ☆556Apr 1, 2025Updated last year
- ☆1,126Sep 13, 2026Updated last month
- Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond☆1,911Oct 10, 2025Updated last year
- PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.☆169May 23, 2024Updated 2 years ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,216Mar 30, 2026Updated 6 months ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆154Feb 20, 2020Updated 6 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆213Jul 16, 2020Updated 6 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.
- ☆222Feb 16, 2024Updated 2 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆231Feb 21, 2023Updated 3 years ago
- A differentiable PDE solving framework for machine learning☆1,948Jul 16, 2026Updated 3 months ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆169May 15, 2024Updated 2 years ago
- Tutorials on deep learning, Python, and dissipative particle dynamics☆229Mar 21, 2026Updated 6 months ago
- ☆178Jun 27, 2022Updated 4 years ago
- ☆118Jul 28, 2019Updated 7 years ago