sunrainyg/RandOpt
Official Codebase for "Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights" (ICML 2026 Spotlight)
- Stars
- 656
- Forks
- 73
- Open issues
- 2
- Last push
- 1mo ago
About RandOpt
RandOpt is a free, open-source machine learning tool by sunrainyg, written mainly in Python. Official Codebase for "Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights" (ICML 2026 Spotlight). It has 656 GitHub stars and 73 forks, and was last updated 1mo ago. GitHub doesn't detect a standard license, so check the repository before using it commercially.
- License
- Not detected
- Language
- Python
- Stars
- 656
- Last update
- 1mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Yes
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RandOpt FAQ
Is RandOpt free?
Yes. RandOpt is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.
Does RandOpt run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does RandOpt need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is RandOpt still maintained?
It was last updated 1mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to RandOpt?
Similar free, open-source tools include pytorch-image-models, ludwig, align-anything, bitsandbytes.