RandOpt
Official Codebase for "Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights" (ICML 2026 Spotlight)
Run experiments with diverse AI models and optimize tasks using provided code.
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Free · no card · unsubscribe anytimeOfficial Codebase for "Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights" (ICML 2026 Spotlight)
RandOpt has 640 stars on GitHub. It has been forked 69 times. RandOpt is written mainly in Python. It has been in active development since 2026. Its main topics are black-box-optimization, ensemble-learning, large-language-models, llm.
What is RandOpt?
Official Codebase for "Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights" (ICML 2026 Spotlight)
Is RandOpt open source?
RandOpt is an open-source project.
Is RandOpt free?
Yes. RandOpt is free and open source — you can use, modify and self-host it.
What language is RandOpt written in?
RandOpt is written mainly in Python.
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