[ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
☆80Nov 21, 2025Updated 4 months ago
Alternatives and similar repositories for torch-cfd
Users that are interested in torch-cfd are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆11Jan 7, 2025Updated last year
- ☆14Feb 18, 2024Updated 2 years ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆99Nov 11, 2025Updated 5 months ago
- ☆13Dec 19, 2023Updated 2 years ago
- ☆56Jul 21, 2025Updated 8 months ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆31Dec 5, 2024Updated last year
- ☆297Sep 14, 2024Updated last year
- Spectral Neural Operator☆83Dec 20, 2023Updated 2 years ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆113Dec 13, 2024Updated last year
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆16Dec 24, 2025Updated 3 months ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆56Mar 23, 2024Updated 2 years ago
- Training methodologies for autoregressive neural operators/emulators in JAX.☆11Nov 5, 2024Updated last year
- Pseudospectral Kolmogorov Flow Solver☆43Oct 24, 2023Updated 2 years ago
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆19Oct 13, 2025Updated 6 months 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.
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆319Jun 2, 2025Updated 10 months ago
- ☆29Jul 8, 2024Updated last year
- ☆25May 21, 2024Updated last year
- ☆83Oct 21, 2025Updated 5 months ago
- A Library for Advanced Neural PDE Solvers.☆297Mar 10, 2026Updated last month
- an Open Collaborative project to explore the implications — theoretical or practical — of the PDE perspective of ConvNets☆21Oct 7, 2023Updated 2 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Jun 10, 2024Updated last year
- ☆19Nov 24, 2024Updated last year
- A large-scale benchmark for machine learning methods in fluid dynamics☆267Oct 25, 2025Updated 5 months 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.
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆213Nov 24, 2025Updated 4 months ago
- Code for the paper Universal Physics Transformers☆156Jul 2, 2025Updated 9 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆79Apr 24, 2025Updated 11 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆69Jun 10, 2024Updated last year
- ☆1,090Updated this week
- PDE-Transformer is a neural network architecture designed to efficiently process and predict the evolution of physical systems described …☆72Updated this week
- [ICLR 2023] Factorized Fourier Neural Operators☆191Oct 13, 2023Updated 2 years ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆61Jan 9, 2025Updated last year
- ☆88Jul 18, 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.
- [ICLR26 Oral] RealPDEBench: A Benchmark for Complex Physical Systems with Paired Real-World and Simulated Data☆68Mar 8, 2026Updated last month
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆74Jan 13, 2024Updated 2 years ago
- ☆13Aug 22, 2024Updated last year
- The source code the for the ICLR'24 paper "Stabilizing Backpropagation Through Time to Learn Complex Physics"☆11May 17, 2024Updated last year
- Code for Mesh Transformer describes in the EAGLE dataset☆42Feb 21, 2025Updated last year
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,101Mar 30, 2026Updated 2 weeks ago
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆86Nov 4, 2024Updated last year