OpenMOSS/EasyWAM
A unified framework for training, fine-tuning, and evaluating World Action Models
- Stars
- 374
- Forks
- 11
- Open issues
- 0
- Last push
- 4d ago
About EasyWAM
EasyWAM is a free, open-source machine learning tool by OpenMOSS, written mainly in Python. A unified framework for training, fine-tuning, and evaluating World Action Models. It has 374 GitHub stars and 11 forks, and was last updated 4d ago. GitHub doesn't detect a standard license, so check the repository before using it commercially.
- License
- Not detected
- Language
- Python
- Stars
- 374
- Last update
- 4d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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EasyWAM FAQ
Is EasyWAM free?
Yes. EasyWAM is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.
Does EasyWAM run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does EasyWAM need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is EasyWAM still maintained?
Yes. It was last updated 4d ago and has 0 open issues on GitHub.
What are alternatives to EasyWAM?
Similar free, open-source tools include pytorch-image-models, align-anything, ludwig, CLUE.