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Search results for parallel hyperparameter tuning

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6 search results found

Neuraxle ⭐ 533

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.

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

Parallel Hyperparameter Tuning in Python

Propulate ⭐ 24

Propulate is an asynchronous evolutionary optimization algorithm and software package for global optimization and hyperparameter search on high-performance computers.

Hypertune ⭐ 12

Hyperparameter tuning using Particle Swarm Optimization and parallel computation which outperforms current approaches. V0.1 Beta

A multiprocess MATLAB toolbox for parallel hyperparamater tuning for Machine Learning applications

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