☆1,126Oct 29, 2026Updated this week
Alternatives and similar repositories for Neural-PDE-Solver
Users that are interested in Neural-PDE-Solver are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,223Mar 30, 2026Updated 7 months ago
- Learning in infinite dimension with neural operators.☆3,979Oct 17, 2026Updated 2 weeks ago
- ☆559Apr 1, 2025Updated last year
- [NeurIPS 2024] Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆459Jul 24, 2026Updated 3 months ago
- Using graph network to solve PDEs☆457Jun 2, 2025Updated last year
- 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.
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆236Nov 24, 2025Updated 11 months ago
- ☆314Sep 14, 2024Updated 2 years ago
- A library for scientific machine learning and physics-informed learning☆4,494Aug 18, 2026Updated 2 months ago
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆427Feb 26, 2026Updated 8 months ago
- A Library for Advanced Neural PDE Solvers.☆348Mar 10, 2026Updated 7 months ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆361Apr 16, 2026Updated 6 months ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆152Sep 11, 2024Updated 2 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆401Jul 14, 2023Updated 3 years ago
- ☆433Dec 3, 2022Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆200Apr 10, 2025Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆74Jun 10, 2024Updated 2 years ago
- ☆446Nov 14, 2025Updated 11 months ago
- ☆98Sep 2, 2024Updated 2 years ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆88Apr 10, 2025Updated last year
- Official implementation of Scalable Transformer for PDE surrogate modelling☆57Mar 23, 2024Updated 2 years ago
- DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia☆292Sep 28, 2024Updated 2 years ago
- Spectral Neural Operator☆84Dec 20, 2023Updated 2 years ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,558Dec 8, 2023Updated 2 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.
- Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators☆857Jun 25, 2022Updated 4 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆304Oct 25, 2025Updated last year
- ☆97Jul 18, 2023Updated 3 years ago
- ☆64Jul 21, 2025Updated last year
- A differentiable PDE solving framework for machine learning☆1,951Jul 16, 2026Updated 3 months ago
- [ICLR 2023] Factorized Fourier Neural Operators☆199Oct 13, 2023Updated 3 years ago
- This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.☆406May 12, 2025Updated last year
- [NeurIPS 2023 Spotlight] Separable Physics-Informed Neural Networks☆95Oct 25, 2023Updated 3 years ago
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆6,234Feb 11, 2026Updated 8 months 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.
- ☆57Oct 9, 2022Updated 4 years ago
- ☆44Jul 22, 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…☆3,411Updated this week
- Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey☆373Jun 4, 2025Updated last year
- Awesome AI4PDE is a curated list of resources and literature focusing on the intersection of Artificial Intelligence and Partial Differen…☆120Apr 10, 2025Updated last year
- PyTorch Implementation of Physics-informed Neural Networks☆723May 20, 2024Updated 2 years ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆75Jan 13, 2024Updated 2 years ago