[NeurIPS 2024] Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
☆433Feb 11, 2026Updated 4 months ago
Alternatives and similar repositories for PINNacle
Users that are interested in PINNacle are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆1,109Updated this week
- Must-read Papers on Physics-Informed Neural Networks.☆1,513Dec 8, 2023Updated 2 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆280Oct 25, 2025Updated 8 months ago
- ☆435Nov 14, 2025Updated 7 months ago
- ☆214Oct 20, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆72Jun 10, 2024Updated 2 years ago
- ☆218Feb 16, 2024Updated 2 years ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,159Mar 30, 2026Updated 3 months ago
- A library for scientific machine learning and physics-informed learning☆4,266Jun 24, 2026Updated last week
- PyTorch Implementation of Physics-informed Neural Networks☆721May 20, 2024Updated 2 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆112Apr 15, 2022Updated 4 years ago
- ☆309Sep 14, 2024Updated last year
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆5,978Feb 11, 2026Updated 4 months ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆106Oct 24, 2022Updated 3 years 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.
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆63Apr 19, 2026Updated 2 months ago
- A place to share problems solved with SciANN☆309Nov 6, 2023Updated 2 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆143Oct 24, 2025Updated 8 months ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆267Feb 1, 2023Updated 3 years ago
- ☆266Oct 14, 2021Updated 4 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆200Apr 7, 2024Updated 2 years ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆85Apr 10, 2025Updated last year
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆557May 29, 2026Updated last month
- Original implementation of fast PINN optimization with RBA weights☆75Sep 11, 2025Updated 9 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆16Sep 18, 2023Updated 2 years ago
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆918Feb 8, 2026Updated 4 months ago
- Learning in infinite dimension with neural operators.☆3,717Jun 23, 2026Updated last week
- Encoding physics to learn reaction-diffusion processes☆110Aug 28, 2023Updated 2 years ago
- ☆542Apr 1, 2025Updated last year
- Applications of PINOs☆149Oct 10, 2022Updated 3 years ago
- ☆116Oct 16, 2021Updated 4 years ago
- This is the code of my master thesis.☆216Feb 7, 2026Updated 4 months ago
- [NeurIPS 2023 Spotlight] Separable Physics-Informed Neural Networks☆89Oct 25, 2023Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆96Sep 2, 2024Updated last year
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆674May 31, 2026Updated last month
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆225Nov 24, 2025Updated 7 months ago
- SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain☆22May 5, 2024Updated 2 years ago
- PINN program for computational mechanics☆146Apr 1, 2024Updated 2 years ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆103Jun 1, 2026Updated last month
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆74Jan 13, 2024Updated 2 years ago