DeepHyper
DeepHyper is a Python package designed for hyperparameter optimization in machine learning.
DevCycle & Hypertune
About
DeepHyper facilitates massively parallel hyperparameter optimization, making it suitable for users engaged in machine learning tasks. It supports various optimization strategies, including black-box optimization and multi-objective optimization. The package is designed to enhance the efficiency of hyperparameter searches, particularly in complex models, by leveraging parallel computing resources.
Alternatives to DeepHyper
- Chameleonby ChameleonChameleon is an experimental platform for edge to cloud research.
- Hyperoptby SparklingpandaHyperopt is a tool for distributed asynchronous hyper-parameter optimization.
- Catalystby Catalyst TeamCatalyst is a DevOps platform designed for managing cloud resources and deployments.
- Bayesian Optimization Library (botorch)by PyTorchBoTorch is a library for Bayesian optimization built on PyTorch.
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Deep Hyper
Publisher of DeepHyper