NVlabs/ProtoMotions
ProtoMotions is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
The project lists 13 contributors on GitHub.
Use Cases & Benefits
- Provides a GPU-accelerated framework for simulating and training physically simulated digital humans and humanoid robots.
- Enables fast prototyping and scalable multi-GPU training for large-scale humanoid motion learning with modular and extensible design.
- Use for training humanoid robots to perform complex motion skills from large public datasets like AMASS within hours.
- Use for deploying physics-based control policies trained in simulation directly onto real humanoid robots with zero-shot transfer.
- Use for developing custom humanoid tasks and environments by composing modular components without monolithic environment classes.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
Watch-outs
- No GitHub releases; pin a commit or tag instead of a release.
General guidance from repository metadata, not legal advice. How we score
From the README
A GPU-Accelerated Framework for Simulated Humanoids
(unverified AI generation)
ProtoMotions3 is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots. Our mission is to provide a fast prototyping platform for various simulated humanoid learning tasks and environments—for researchers and practitioners in animation, robotics, and reinforcement learning—bridging efforts across communities.
Modularity, extensibility, and scalability are at the core of ProtoMotions3. It is community-driven and permissively licensed under the Apache-2.0 license.
Also check out MimicKit, our sibling repository for a lightweight framework for motion imitation learning.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
399-40
Open issues
16-1
Compared with peers in Machine Learning
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| photoprism/photoprism | 40.4K | — | 65 | 1 day ago |
| huggingface/diffusers | 34.8K | — | 65 | 3 days ago |
| onnx/onnx | 21.6K | — | 63 | 31 days ago |
| lukas-blecher/LaTeX-OCR | 16.6K | — | 18 | — |
| milesial/Pytorch-UNet | 11.7K | — | 18 | — |
| NVlabs/ProtoMotions | 2.5K | — | 19 | — |
| Category median | 21.6K | — | 63 | — |
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