Hyperparameter Search

rayPython

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

rayPython

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

auto-sklearnPython

An automated machine learning toolkit that serves as a drop-in replacement for scikit-learn estimators.

DeterminedGo

An open-source machine learning platform for distributed training, hyperparameter tuning, experiment tracking, and resource management.

SMAC3Python

A versatile Bayesian optimization package for hyperparameter optimization of machine learning algorithms.

Neuraxle - A general-purpose ML pipelining frameworkPython

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

Hyperopt for a Keras CNN on CIFAR-100Python

A tutorial and demo using Hyperopt to auto-optimize CNN architecture and hyperparameters for the CIFAR-100 dataset with Keras/TensorFlow.