Showing 1-10 of 10 projects
An open-source AutoML toolkit for automating the machine learning lifecycle, including feature engineering, neural architecture search, and hyperparameter tuning.
The AI developer platform to train and fine-tune models, and manage models from experimentation to production.
Easily run, manage, and scale AI workloads on any infrastructure using a unified platform.
Automated Machine Learning with scikit-learn
Determined is an open-source machine learning platform for distributed training, hyperparameter tuning, and resource management.
A framework for training Stable Baselines3 reinforcement learning agents with hyperparameter optimization.
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.
SMAC3 is a versatile Bayesian optimization package for hyperparameter optimization in machine learning models.
A collection of pre-trained reinforcement learning agents with training and hyperparameter optimization tools.
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