Showing 1-9 of 9 projects
An open-source AutoML toolkit for automating the machine learning lifecycle, including feature engineering, neural architecture search, and hyperparameter tuning.
A Python library for global optimization using Gaussian processes, useful for AI/ML developers.
Automated Machine Learning with scikit-learn
A modular active learning framework for Python, focused on machine learning algorithms and APIs.
This repository provides Jupyter notebooks for learning about Bayesian methods for machine learning.
Research interface for blackbox and hyperparameter optimization using the Google Vizier Service
A library for implementing hyperparameter optimization methods for machine learning and deep learning models.
Optimizes numerical and discrete search spaces with various gradient-free optimization techniques.
SMAC3 is a versatile Bayesian optimization package for hyperparameter optimization in machine learning models.
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