NVIDIA / physicsnemo
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Why this job: says: deep learning framework; topics: deep-learning, machine-learning, pytorch
What it does
NVIDIA PhysicsNeMo is an open-source PyTorch framework for physics machine learning (physics ML), scientific machine learning (SciML), and AI for science and engineering. It provides reusable library components and end-to-end training recipes.
Get started
pip install "nvidia-physicsnemo[cu12]" \
--extra-index-url https://download.pytorch.org/whl/cu129 - Maintenance
- Active
- Last commit today
- Stars
- 3,439
- +22 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v2.2.2
- Released 2 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 16
- Last 90 days
- Issues
- 94% closed
- 28 still open
- Pull requests
- 1,312 merged
- 81 waiting
- Releases
- 22
- 7 in the last year
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More: languages, topics and project record
Languages
- Python 100%
- Standard ML <1%
- Dockerfile <1%
- Shell <1%
Topics
- deep-learning
- machine-learning
- nvidia-gpu
- physics
- pytorch
- nvidia-warp
Project record
- JobAI libraries and models
- StatusListed
- Commits1,292
- Forks832
- Watching62
- Stars in 28 days+89
- CreatedJan 26, 2023
- First seen by usNov 7, 2026
- CheckedNov 12, 2026