[ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
☆82Nov 21, 2025Updated 7 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…☆103Jun 1, 2026Updated last month
- ☆13Dec 19, 2023Updated 2 years ago
- ☆60Jul 21, 2025Updated 11 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.
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆33Dec 5, 2024Updated last year
- ☆309Sep 14, 2024Updated last year
- Spectral Neural Operator☆83Dec 20, 2023Updated 2 years ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆116Dec 13, 2024Updated last year
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆16Dec 24, 2025Updated 6 months ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆57Mar 23, 2024Updated 2 years ago
- Training methodologies for autoregressive neural operators/emulators in JAX.☆13Jun 1, 2026Updated last month
- 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 8 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.
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆340Apr 16, 2026Updated 2 months ago
- ☆29Jul 8, 2024Updated last year
- ☆26May 21, 2024Updated 2 years ago
- A Library for Advanced Neural PDE Solvers.☆325Mar 10, 2026Updated 3 months ago
- 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"☆56Jun 10, 2024Updated 2 years ago
- ☆95Apr 30, 2026Updated 2 months ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆225Nov 24, 2025Updated 7 months ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆283Oct 25, 2025Updated 8 months 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.
- Code for the paper Universal Physics Transformers☆165Jul 2, 2025Updated last year
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆84Apr 24, 2025Updated last year
- ☆22Nov 24, 2024Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆72Jun 10, 2024Updated 2 years ago
- ☆1,109Updated this week
- [ICLR 2023] Factorized Fourier Neural Operators☆196Oct 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…☆68Jan 9, 2025Updated last year
- 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
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆91Jul 18, 2023Updated 2 years ago
- The source code the for the ICLR'24 paper "Stabilizing Backpropagation Through Time to Learn Complex Physics"☆11May 17, 2024Updated 2 years ago
- Code for Mesh Transformer describes in the EAGLE dataset☆41Feb 21, 2025Updated last year
- PDE-Transformer is a neural network architecture designed to efficiently process and predict the evolution of physical systems described …☆87Apr 11, 2026Updated 2 months ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,166Mar 30, 2026Updated 3 months ago
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆88Nov 4, 2024Updated last year
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆34May 30, 2025Updated last year