Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks" at ICLR 2022
☆69May 22, 2024Updated 2 years ago
Alternatives and similar repositories for finite-element-networks
Users that are interested in finite-element-networks are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆39Jun 21, 2023Updated 3 years ago
- Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation☆96Jul 25, 2022Updated 4 years ago
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Jul 19, 2024Updated 2 years ago
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆38Jul 5, 2021Updated 5 years ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆151Sep 11, 2024Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆17May 21, 2020Updated 6 years ago
- This is the reference implementation of our NeurIPS 2023 paper "Add and Thin: Diffusion for Temporal Point Processes"☆23Mar 4, 2024Updated 2 years ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆27Mar 9, 2023Updated 3 years ago
- Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs (AAAI 2024)☆16Jul 30, 2024Updated 2 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Feb 17, 2021Updated 5 years ago
- ☆35Jan 29, 2021Updated 5 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆59Nov 27, 2022Updated 3 years ago
- Official PyTorch implementation of "Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics" (https://openreview.net/forum…☆51Feb 19, 2020Updated 6 years ago
- A parallel ODE solver for PyTorch☆290Mar 30, 2026Updated 6 months 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.
- The official implementation of Convergent Graph Solvers (CGS)☆21Feb 1, 2022Updated 4 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
- Using graph network to solve PDEs☆457Jun 2, 2025Updated last year
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆75Jan 13, 2024Updated 2 years ago
- Code for Mesh Transformer describes in the EAGLE dataset☆43Feb 21, 2025Updated last year
- ☆11Apr 14, 2022Updated 4 years ago
- [AAAI 2025] AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries☆23Jul 20, 2025Updated last year
- Exploring how ChatGPT can be used to accelerate research in cosmology.☆13Dec 12, 2022Updated 3 years ago
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆34Aug 14, 2026Updated 2 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆28Sep 30, 2021Updated 5 years ago
- DiffNet: A FEM based neural PDE solver package☆12Apr 9, 2024Updated 2 years ago
- [Communications AI & Computing 2026]An Efficient Graph-Transformer Operator for Learning Physical Dynamics with Manifolds Embedding☆26Jun 24, 2026Updated 4 months ago
- ☆314Sep 14, 2024Updated 2 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆45Dec 11, 2022Updated 3 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆58May 23, 2023Updated 3 years ago
- Differentiable Physics-informed Graph Networks☆67Feb 20, 2020Updated 6 years ago
- Repository for Angus H Wright's AstroStatistics Lecture Materials☆16Jul 28, 2026Updated 3 months ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆46Sep 30, 2022Updated 4 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.
- simple simulations for testing weak lensing shear measurement☆14Apr 24, 2026Updated 6 months ago
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆28May 6, 2024Updated 2 years ago
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆14Oct 14, 2024Updated 2 years ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆110Nov 12, 2023Updated 2 years ago
- ☆133Mar 28, 2023Updated 3 years ago
- Integrating Neural Ordinary Differential Equations, the Method of Lines, and Graph Neural Networks☆17Oct 29, 2023Updated 3 years ago
- Automatic differentiation of partial differential equations☆110Mar 29, 2021Updated 5 years ago