Rank #2,344 3,361 starsPython

physicsnemo

by NVIDIA (organization)

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods (description from the project’s GitHub page)

View on GitHub Homepage

Repository facts

Stars: 3,361
Forks: 816
Open issues and pull requests: 125
Primary language: Python
License: Apache License 2.0 (Apache-2.0)
Owner: NVIDIA · Organization
Created: Jan 26, 2023
Last push: Oct 17, 2026

Topics

Rank #2,344 of 9,507 in AI on GitHub, by stars. Data from the GitHub API, fetched Oct 18, 2026; star counts change daily. Stars measure popularity, not quality or safety, and a listing is not an endorsement. How this list is made

Projects that share this one’s GitHub topics.

Rank 3,696: WassimTenachi/PhySO
Physical Symbolic Optimization
1,977 starsPythonMITLast push Feb 21, 2026
Rank 4,346: pypose/pypose
A library for differentiable robotics on manifolds.
1,616 starsPythonApache-2.0Last push Oct 17, 2026
Rank 1,551: NVIDIAGameWorks/kaolin
A PyTorch Library for Accelerating 3D Deep Learning Research
5,187 starsPythonApache-2.0Last push Oct 18, 2026
Rank 9,025: greydanus/hamiltonian-nn
Code for our paper "Hamiltonian Neural Networks"
549 starsJupyter NotebookApache-2.0Last push Apr 13, 2021
Rank 6,059: optiland/optiland
Comprehensive optical design, optimization, and analysis in Python, including GPU-accelerated and differentiable ray tracing via PyTorch.
1,016 starsPythonMITLast push Oct 14, 2026
Rank 6,323: stanfordnmbl/osim-rl
Reinforcement learning environments with musculoskeletal models
948 starsPythonMITLast push Jan 24, 2022

Repository facts

Topics

Related projects

Rank 3,696: WassimTenachi/PhySO

Rank 4,346: pypose/pypose

Rank 1,551: NVIDIAGameWorks/kaolin

Rank 9,025: greydanus/hamiltonian-nn

Rank 6,059: optiland/optiland

Rank 6,323: stanfordnmbl/osim-rl

Support Us