Official implementation of Diffusion Graph Networks (DGNs)
☆79Mar 17, 2025Updated last year
Alternatives and similar repositories for dgn4cfd
Users that are interested in dgn4cfd are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆28Nov 6, 2024Updated last year
- [NeurIPS 2025 Spotlight] "Stochastic Process Learning via Operator Flow Matching"☆22Apr 26, 2026Updated last month
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Jul 19, 2024Updated last year
- Repo to the paper "Message Passing Neural PDE Solvers"☆148Sep 11, 2024Updated last year
- [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆62Mar 8, 2026Updated 3 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆25May 3, 2024Updated 2 years ago
- Graph Neural Networks (GNN) based solvers for Computational Fluid Dynamics (CFD)☆58Jan 24, 2024Updated 2 years ago
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆34Dec 7, 2025Updated 6 months ago
- ☆11Jan 7, 2025Updated last year
- ☆39Jul 9, 2025Updated 11 months ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆224Nov 24, 2025Updated 6 months ago
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆42Mar 10, 2025Updated last year
- ☆28May 4, 2026Updated last month
- Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence☆88Feb 19, 2025Updated last year
- 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.
- SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain☆22May 5, 2024Updated 2 years ago
- OpenFOAM examples for data-driven ML and ROM☆19Jul 25, 2023Updated 2 years ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆101Jun 1, 2026Updated 2 weeks ago
- A Library for Advanced Neural PDE Solvers.☆322Mar 10, 2026Updated 3 months ago
- ☆20May 25, 2024Updated 2 years ago
- ☆309Sep 14, 2024Updated last year
- Repository of GridMix (ICLR 2025)☆35Mar 18, 2025Updated last year
- Code for Mesh Transformer describes in the EAGLE dataset☆42Feb 21, 2025Updated last year
- Implementation for "DeltaPhi: Learning Physical Trajectory Residual for PDE Solving"☆13Jun 17, 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.
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆71Jun 10, 2024Updated 2 years ago
- [ICML 2024] Official PyTorch implementation of the Vectorized Conditional Neural Field.☆18Aug 1, 2024Updated last year
- [NeurIPS 2023 Spotlight] Separable Physics-Informed Neural Networks☆89Oct 25, 2023Updated 2 years ago
- PDE-Transformer is a neural network architecture designed to efficiently process and predict the evolution of physical systems described …☆86Apr 11, 2026Updated 2 months ago
- ☆71Jun 14, 2026Updated last week
- [AAAI 2025] AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries☆22Jul 20, 2025Updated 11 months ago
- ☆29Oct 30, 2023Updated 2 years ago
- 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☆73Jan 13, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A large-scale benchmark for machine learning methods in fluid dynamics☆278Oct 25, 2025Updated 7 months ago
- A novel graph U-net architecture☆25Apr 12, 2024Updated 2 years ago
- Implementation of Physics-Informed Diffusion Models (ICLR 2025)☆228Feb 1, 2026Updated 4 months ago
- ☆90Jul 18, 2023Updated 2 years ago
- [ICLR 2024] Official implementation for the paper "Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks…☆19Aug 29, 2025Updated 9 months ago
- ☆1,108Apr 9, 2026Updated 2 months ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆85Apr 10, 2025Updated last year