Repo to the paper "Message Passing Neural PDE Solvers"
☆147Sep 11, 2024Updated last year
Alternatives and similar repositories for MP-Neural-PDE-Solvers
Users that are interested in MP-Neural-PDE-Solvers are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆304Sep 14, 2024Updated last year
- Official implementation of Scalable Transformer for PDE surrogate modelling☆57Mar 23, 2024Updated 2 years ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆74Jan 13, 2024Updated 2 years ago
- ☆14Aug 22, 2024Updated last year
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆101May 11, 2026Updated 2 weeks 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.
- ☆88Jul 18, 2023Updated 2 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆70Jun 10, 2024Updated last year
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆58May 23, 2023Updated 3 years ago
- [ICLR 2023] Factorized Fourier Neural Operators☆194Oct 13, 2023Updated 2 years ago
- Code for Mesh Transformer describes in the EAGLE dataset☆42Feb 21, 2025Updated last year
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆70May 22, 2024Updated 2 years ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆39Jun 21, 2023Updated 2 years ago
- Spectral Neural Operator☆84Dec 20, 2023Updated 2 years ago
- ☆1,100Apr 9, 2026Updated last month
- 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.
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆220Nov 24, 2025Updated 6 months ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆32Dec 5, 2024Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆56Jun 10, 2024Updated last year
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,145Mar 30, 2026Updated 2 months ago
- ☆93Sep 2, 2024Updated last year
- Multiwavelets-based operator model☆70Feb 16, 2022Updated 4 years ago
- ☆42Jul 22, 2024Updated last year
- Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation☆96Jul 25, 2022Updated 3 years ago
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆28May 6, 2024Updated 2 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.
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆115Dec 13, 2024Updated last year
- ☆180Jan 25, 2024Updated 2 years ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆42Jun 21, 2024Updated last year
- Code for the paper Universal Physics Transformers☆163Jul 2, 2025Updated 10 months ago
- ☆54Jun 16, 2022Updated 3 years ago
- [ICML 2024] Official PyTorch implementation of the Vectorized Conditional Neural Field.☆18Aug 1, 2024Updated last year
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆58Nov 27, 2022Updated 3 years ago
- ICON for in-context operator learning☆64May 3, 2026Updated 3 weeks ago
- Encoding physics to learn reaction-diffusion processes☆110Aug 28, 2023Updated 2 years 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.
- ☆21Nov 24, 2024Updated last year
- Official implementation of Diffusion Graph Networks (DGNs)☆78Mar 17, 2025Updated last year
- Code for paper "Multiple Physics Pretraining for Physical Surrogate Models☆207Dec 6, 2024Updated last year
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆42Jan 30, 2024Updated 2 years ago
- LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…☆29Jan 30, 2024Updated 2 years ago
- Using graph network to solve PDEs☆447Jun 2, 2025Updated 11 months ago
- ☆537Apr 1, 2025Updated last year