☆55Jun 16, 2022Updated 3 years ago
Alternatives and similar repositories for GraphPDE
Users that are interested in GraphPDE are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [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
- ☆14May 28, 2021Updated 4 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆55Jun 10, 2024Updated last year
- Repo to the paper "Message Passing Neural PDE Solvers"☆147Sep 11, 2024Updated last year
- ☆35Jan 29, 2021Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆74Jan 13, 2024Updated 2 years ago
- Grounding Graph Network Simulators using Physical Sensor Observations☆15Jun 26, 2023Updated 2 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆69Jun 10, 2024Updated last year
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆331Apr 16, 2026Updated last month
- [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen…☆40Oct 3, 2025Updated 7 months ago
- ☆47Jul 6, 2023Updated 2 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆61Jan 25, 2022Updated 4 years ago
- [ICML 2024] Official PyTorch implementation of the Vectorized Conditional Neural Field.☆18Aug 1, 2024Updated last year
- PyTorch implementations of Learning Mesh-based Simulation With Graph Networks☆248Dec 19, 2025Updated 5 months ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆184Apr 10, 2025Updated last year
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆28May 6, 2024Updated 2 years ago
- ☆41Jul 10, 2024Updated last year
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Feb 17, 2021Updated 5 years ago
- Practicum on Supervised Learning in Function Spaces☆35Feb 17, 2022Updated 4 years ago
- ☆14Jan 29, 2021Updated 5 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
- ☆89Jul 18, 2023Updated 2 years ago
- ☆50Nov 6, 2023Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆14Aug 22, 2024Updated last year
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆32Dec 5, 2024Updated last year
- Code for reproducing the paper "Space-Time Continuous PDE Forecasting using Equivariant Neural Fields" (https://arxiv.org/abs/2406.06660)…☆14Nov 18, 2025Updated 6 months ago
- Using graph network to solve PDEs☆446Jun 2, 2025Updated 11 months ago
- Turbulent flow network source code☆72Mar 14, 2025Updated last year
- Official implementation of NeurIPS 2024 paper "DiffusionPDE: Generative PDE-Solving Under Partial Observation"☆168Apr 29, 2025Updated last year
- ☆19Apr 5, 2024Updated 2 years ago
- ☆17Apr 28, 2024Updated 2 years ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆53May 31, 2023Updated 2 years 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.
- ☆93Sep 2, 2024Updated last year
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆15May 27, 2024Updated last year
- ☆24Mar 3, 2023Updated 3 years ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,139Mar 30, 2026Updated last month
- Research sources on graph-based anomaly detection☆13Nov 29, 2022Updated 3 years ago
- ☆70Aug 16, 2024Updated last year
- [NeurIPS 2025 Spotlight] "Stochastic Process Learning via Operator Flow Matching"☆21Apr 26, 2026Updated 3 weeks ago