Shypd.aiThe largest open index of AI toolsHEBO is an Open Source & Models tool that provides a library for Bayesian optimization and reinforcement learning research. It includes implementations for various algorithms and frameworks developed by Huawei Noah's Ark Lab.
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HEBO is an open-source library developed by Huawei Noah's Ark Lab, focusing on Bayesian optimization, reinforcement learning, and generative model research. It offers official implementations for a wide range of algorithms, including Heteroscedastic Evolutionary Bayesian Optimisation (HEBO), a framework for Combinatorial and Mixed-variable Bayesian Optimization (MCBO), and End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes (NAP). The library also covers high-dimensional Bayesian optimization with random decompositions (RDUCB) and applications in antibody design (AntBO) and logic synthesis (BOiLS). Additionally, HEBO supports research in reinforcement learning, such as enhancing agents with local guides and safe reinforcement learning, and generative models like EM-LLM for episodic memory in LLMs. It serves as a comprehensive resource for researchers and developers in these advanced AI fields.
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