
ASAP
by LeCAR-Lab (organization)
[RSS 2025] "ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills" (description from the project’s GitHub page)
Repository facts
- Stars
- 2,128
- Forks
- 194
- Open issues and pull requests
- 65
- Primary language
- Python
- License
- MIT License (MIT)
- Owner
- LeCAR-Lab · Organization
- Created
- Jan 28, 2025
- Last push
- Jan 6, 2026
Topics
Related projects
Projects that share this one’s GitHub topics.
Rank 3,099: NVlabs/ProtoMotions
ProtoMotions is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots.
2,453 starsPythonApache-2.0Last push Oct 16, 2026
Rank 6,993: LeCAR-Lab/BFM-Zero
BFM_Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning
815 starsPythonOther licenseLast push Oct 16, 2026
Rank 9,106: Sirui-Xu/InterMimic
[CVPR 2025 Highlight] InterMimic: Towards Universal Whole-Body Control for Physics-Based Human-Object Interactions
541 starsPythonMITLast push Apr 21, 2026
Rank 587: DLR-RM/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
13,904 starsPythonMITLast push Oct 13, 2026
Rank 2,180: pytorch/rl
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
3,604 starsPythonMITLast push Oct 18, 2026
Rank 2,297: mani-skill/ManiSkill
Manipulation Skill Framework, an open source GPU parallelized robotics simulator and benchmark
3,427 starsPythonApache-2.0Last push Aug 4, 2026