☆559Apr 1, 2025Updated last year
Alternatives and similar repositories for physics_informed
Users that are interested in physics_informed are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Applications of PINOs☆151Oct 10, 2022Updated 4 years ago
- Learning in infinite dimension with neural operators.☆3,972Oct 17, 2026Updated last week
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆361Apr 16, 2026Updated 6 months ago
- ☆433Dec 3, 2022Updated 3 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆401Jul 14, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Using graph network to solve PDEs☆457Jun 2, 2025Updated last year
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,222Mar 30, 2026Updated 6 months ago
- ☆1,127Sep 13, 2026Updated last month
- [ICLR 2023] Factorized Fourier Neural Operators☆199Oct 13, 2023Updated 3 years ago
- A library for scientific machine learning and physics-informed learning☆4,492Aug 18, 2026Updated 2 months ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆234Nov 24, 2025Updated 11 months ago
- DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia☆292Sep 28, 2024Updated 2 years ago
- Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators☆854Jun 25, 2022Updated 4 years ago
- ☆314Sep 14, 2024Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…☆13Mar 18, 2024Updated 2 years ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆180Sep 6, 2024Updated 2 years ago
- ☆57Oct 9, 2022Updated 4 years ago
- ☆96Jul 18, 2023Updated 3 years ago
- A library for Koopman Neural Operator with Pytorch.☆334Oct 5, 2024Updated 2 years ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆151Sep 11, 2024Updated 2 years ago
- ☆68Mar 21, 2025Updated last year
- Adaptive FNO transformer - official Pytorch implementation☆292Nov 7, 2022Updated 3 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆74Jun 10, 2024Updated 2 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.
- Official implementation of Scalable Transformer for PDE surrogate modelling☆57Mar 23, 2024Updated 2 years ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆42Jun 21, 2024Updated 2 years ago
- ☆16Nov 20, 2023Updated 2 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆152Nov 18, 2021Updated 4 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
- Here you find the Spectral Operator Learning Under construcTION☆21May 8, 2024Updated 2 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆581May 29, 2026Updated 5 months ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,555Dec 8, 2023Updated 2 years ago
- ☆273Oct 14, 2021Updated 5 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.
- ☆16Oct 25, 2021Updated 5 years ago
- [NeurIPS 2021] Galerkin Transformer: Neural Operator built on Attention for PDEs☆271Jun 14, 2024Updated 2 years ago
- ☆98Sep 2, 2024Updated 2 years ago
- This is the implementation of the RecFNO.☆28Feb 21, 2023Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆169May 15, 2024Updated 2 years ago
- Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML method…☆3,396Updated this week
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆6,224Feb 11, 2026Updated 8 months ago