Mohamedelrefaie / DrivAerNetView external linksLinks
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
☆467Dec 10, 2025Updated 2 months ago
Alternatives and similar repositories for DrivAerNet
Users that are interested in DrivAerNet are comparing it to the libraries listed below
Sorting:
- Surrogate Modeling of the Aerodynamic Performance for Transonic Regime☆13Feb 12, 2024Updated 2 years ago
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆263Feb 6, 2026Updated last week
- Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey☆318Jun 4, 2025Updated 8 months ago
- [NeurIPS 2025] Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains☆73Oct 23, 2025Updated 3 months ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆304Jun 2, 2025Updated 8 months ago
- ☆53Jul 21, 2025Updated 6 months ago
- ☆58Jan 27, 2026Updated 2 weeks ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Jun 10, 2024Updated last year
- Ahmed bluff body geometry (CAD + STL) and OpenFOAM (v7) validation cases☆22May 26, 2020Updated 5 years ago
- About code release of "Geometry-Aware Operator Transformer: A Generalizable Framework for PDE Solution Operators"☆19Dec 8, 2025Updated 2 months ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆259Oct 25, 2025Updated 3 months ago
- Code for the paper Universal Physics Transformers☆149Jul 2, 2025Updated 7 months ago
- AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries☆21Jul 20, 2025Updated 6 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆66Jun 10, 2024Updated last year
- ☆1,079Jan 29, 2026Updated 2 weeks ago
- ☆12May 17, 2023Updated 2 years ago
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆74Jun 5, 2025Updated 8 months ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆58Jan 9, 2025Updated last year
- A streamlined OpenFOAM generation tool☆25Jan 11, 2025Updated last year
- Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML method…☆2,409Updated this week
- A Library for Advanced Neural PDE Solvers.☆264Nov 17, 2025Updated 2 months ago
- A GNN-based PDE solver without pre-computed data☆39Jun 11, 2025Updated 8 months ago
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆19Oct 13, 2025Updated 4 months ago
- ☆61Feb 3, 2026Updated last week
- Speed Up OpenFOAM Framework with PETSc Library (experimental)☆23Sep 16, 2023Updated 2 years ago
- ☆24May 21, 2024Updated last year
- Differentiable Fluid Dynamics Package☆510Jan 29, 2026Updated 2 weeks ago
- A Python package for working with OpenFOAM.☆15Oct 2, 2024Updated last year
- ☆59Jul 10, 2023Updated 2 years ago
- ☆11Jan 7, 2025Updated last year
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆82Nov 4, 2024Updated last year
- Modified Meshgraphnets with more features☆57Jan 31, 2025Updated last year
- ☆44Dec 7, 2022Updated 3 years ago
- PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Mo…☆217May 28, 2023Updated 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 2 months ago
- OpenFoam® motorBike case with adaptive volume & surface mesh refinement based on curl(U) or grad(p)☆80Jun 16, 2021Updated 4 years ago
- ☆87Jul 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 last year
- OpenFOAM implementation of turbulence models driven by machine learning predictions.☆48Jun 11, 2024Updated last year