huawei-noah/HEBO
Huawei Noah's Ark Lab's research library for Bayesian optimization, reinforcement learning, and generative models including LLM-related projects.
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This repository contains official implementations of research in Bayesian Optimization, Reinforcement Learning, and Generative Models developed by Huawei Noah’s Ark Lab. It includes multiple projects such as HEBO for heteroscedastic evolutionary Bayesian optimization, various RL algorithms (SIMMER, PMDB), and LLM-related work like SparsePO for preference alignment and EM-LLM for episodic memory in LLMs. The repository serves as a toolkit for ML research and experimentation.
Frequently asked
- What is huawei-noah/HEBO?
- Huawei Noah's Ark Lab's research library for Bayesian optimization, reinforcement learning, and generative models including LLM-related projects.
- Is HEBO open source?
- Yes — huawei-noah/HEBO is an open-source project tracked on heatdrop.
- What language is HEBO written in?
- huawei-noah/HEBO is primarily written in Jupyter Notebook.
- How popular is HEBO?
- huawei-noah/HEBO has 2.8k stars on GitHub.
- Where can I find HEBO?
- huawei-noah/HEBO is on GitHub at https://github.com/huawei-noah/HEBO.