Mohamedelrefaie / DrivAerNet
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
Why this job: matched by what the repo talks about: benchmark, dataset, learn, large
What it does
We present DrivAerNet++, comprising 8,150 diverse car designs modeled with high-fidelity computational fluid dynamics (CFD) simulations, covering configurations such as fastback, notchback, and estateback.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 6 months ago
- Stars
- 558
- +1 this week
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 85% closed
- 9 still open
- Pull requests
- 0 merged
- 2 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 100%
Topics
- 3d-geometry
- aerodynamics
- car-design
- cfd
- computational-fluid-dynamics
- data-driven
- deep-learning
- deep-neural-networks
- dgcnn
- generative-ai
- graph-neural-networks
- large-scale-dataset
Project record
- JobEvals and observability
- StatusListed
- Commits231
- Forks87
- Watching21
- Stars in 28 days+4
- CreatedMar 4, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026