Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
☆379Jul 5, 2024Updated 2 years ago
Alternatives and similar repositories for PINN
Users that are interested in PINN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch Implementation of Physics-informed Neural Networks☆719May 20, 2024Updated 2 years ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,531Dec 8, 2023Updated 2 years ago
- Investigating PINNs☆776Aug 13, 2021Updated 5 years ago
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆6,090Feb 11, 2026Updated 6 months ago
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆938Feb 8, 2026Updated 6 months 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.
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆206Apr 7, 2024Updated 2 years ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆680May 31, 2026Updated 2 months ago
- Physics-informed neural networks package☆347Jul 20, 2022Updated 4 years ago
- Physics-Informed Neural Network☆94May 10, 2024Updated 2 years ago
- Basic implementation of physics-informed neural networks for solving differential equations☆100Dec 26, 2024Updated last year
- Physics Informed Neural Network (PINN) for the wave equation.☆214Jul 16, 2020Updated 6 years ago
- A library for scientific machine learning and physics-informed learning☆4,373Updated this week
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆266Nov 30, 2023Updated 2 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆297Oct 12, 2021Updated 4 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.
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆114Apr 15, 2022Updated 4 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆82Feb 1, 2023Updated 3 years 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
- 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
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆98Apr 4, 2024Updated 2 years ago
- A Physics-Informed Neural Network for solving Burgers' equation.☆34Apr 14, 2024Updated 2 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Sep 12, 2021Updated 4 years ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆29Jun 4, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆270Feb 1, 2023Updated 3 years ago
- ☆117Oct 16, 2021Updated 4 years ago
- Physics-informed neural network for solving fluid dynamics problems☆285Jan 28, 2021Updated 5 years ago
- ☆426Dec 3, 2022Updated 3 years ago
- ☆222Feb 16, 2024Updated 2 years ago
- Code accompanying my blog post: So, what is a physics-informed neural network?☆678Mar 22, 2022Updated 4 years ago
- Deep learning library for solving differential equations on top of PyTorch.☆63Jul 30, 2020Updated 6 years ago
- ☆222Oct 20, 2024Updated last year
- [NeurIPS 2024] Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆449Jul 24, 2026Updated 3 weeks ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,213Updated this week
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆570May 29, 2026Updated 2 months ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆88Aug 13, 2021Updated 5 years ago
- A Deep Learning Approach to Solving PDEs: Implementing Neural Networks with Pytorch and Jax☆10Apr 27, 2023Updated 3 years ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆249Oct 21, 2024Updated last year
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆106Oct 24, 2022Updated 3 years ago
- code_sample☆19Jul 17, 2023Updated 3 years ago