Showing 21-31 of 31 projects
Automated machine learning for analytics & production use cases powered by popular ML libraries.
Hyperparameter optimization library for TensorFlow and Keras, focused on AI/ML model development.
Research interface for blackbox and hyperparameter optimization using the Google Vizier Service
Open-source implementation of Google Vizier for hyper parameters tuning in machine learning models.
An open-source marketing mix modeling library that uses AI/ML to democratize modeling knowledge and reduce human bias.
Interactive visualization of gradient descent methods with step-by-step illustration and hyperparameter tuning UI
A library for implementing hyperparameter optimization methods for machine learning and deep learning models.
A Python library for automated hyperparameter tuning and ensemble learning using scikit-learn.
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.
A collection of pre-trained reinforcement learning agents with training and hyperparameter optimization tools.
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