EasyWAM
A unified framework for training, fine-tuning, and evaluating World Action Models
- codebase
- foundation-models
- robotics
- world-action-model
- benchmark
- embodied-ai
- lora
- vision-language-action
- world-models
- Stars
- 405
- Forks
- 14
- + today
- +1
- Created
- 1mo
Ranking data as of October 13, 2026 (UTC).
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Overview
A unified framework for training, fine-tuning, and evaluating World Action Models It ranks #2521 on GitTiger, gaining +1 star on October 13, 2026 (UTC).
The project is written in Python and has 14 forks. It was created 1mo ago.
Installation
git clone https://github.com/OpenMOSS/EasyWAM.git
cd EasyWAM
# see README for setup