Experimental Design
Showing 5 of 5 projects
A Python package for uplift modeling and causal inference using machine learning algorithms to estimate treatment effects.
An open-source Python library for creating and running psychology and neuroscience experiments with both GUI and code interfaces.
A Python toolkit for optimizing chemical reactions using machine learning strategies and benchmarks.
A simple yet essential Python framework for Bayesian optimization, enabling efficient hyperparameter tuning and black-box function optimization.
A sequential model optimization platform that uses active learning to discover synergistic drug combinations for cancer treatment with minimal screening.
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