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Welcome to Odyssey, an open-source Bayesian Optimization module designed to democratize the process of optimizing complex functions and hyperparameters. Odyssey is not just a tool, but a comprehensive framework that allows for the addition of new optimization algorithms, each with their unique underlying principles, yet maintaining a consistent implementation approach.
Odyssey's primary focus is to accelerate materials discovery and facilitate self-driving labs. However, its flexible design makes it equally effective for a wide range of single and multi-objective Bayesian optimization problems.
Key Features of Odyssey Bayesian Optimization:
- Open-source: Odyssey is freely available for use and modification, encouraging community-driven enhancements and additions.
- Extensible: The framework allows for the seamless integration of new optimization algorithms, promoting innovation and variety.
- Versatile: While Odyssey is designed with materials discovery and self-driving labs in mind, it can be effectively used for any machine learning task requiring Bayesian optimization.
- Customizable: Users can customize the acquisition function and exploration-exploitation trade-off to suit their specific needs.
Odyssey is committed to making Bayesian optimization accessible and efficient for all. Get started with Odyssey today and unlock the full potential of your machine learning models and research projects!