dengxianghua888-ops/preference-lab
Policy-driven preference data for content moderation, with source-linked evidence, resumable runs, budget controls and TRL/ShareGPT exports.
- Stars
- 50
- Forks
- 5
- Open issues
- 0
- Last push
- 1d ago
preference-lab star history
-5 this week
About preference-lab
preference-lab is a free, open-source machine learning tool by dengxianghua888-ops, written mainly in Python. Policy-driven preference data for content moderation, with source-linked evidence, resumable runs, budget controls and TRL/ShareGPT exports. It has 50 GitHub stars and 5 forks, and was last updated 1d ago. It's released under the Apache-2.0 license, a standard open-source license. According to the project, it works on macOS.
- License
- Apache-2.0
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 50
- Last update
- 1d ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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preference-lab FAQ
Can I use preference-lab commercially?
Yes. Apache-2.0 is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is preference-lab free?
Yes. preference-lab is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does preference-lab run on a Mac?
Yes. According to the project, preference-lab works on macOS.
Does preference-lab need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is preference-lab still maintained?
Yes. It was last updated 1d ago and has 0 open issues on GitHub.
What are alternatives to preference-lab?
Similar free, open-source tools include scikit-learn, datasets, SDV, OpenBB.
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