155 Open source projects that are alternatives of or similar to Hyperband

a distributed Hyperband implementation on Steroids

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Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。

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Asynchronous Distributed Hyperparameter Optimization.

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Examples for https://github.com/optuna/optuna

Notes for Deep Learning Specialization Courses led by Andrew Ng.

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Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression with cross validation, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define m…

Your local Flux surgeon

A fully decentralized hyperparameter optimization framework

R interface to Keras Tuner

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A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.

Hyperparameter Optimization for TensorFlow, Keras and PyTorch

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

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Iterated Racing for Automatic Algorithm Configuration

Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

A simple collection of well working NLP models (Keras, H2O, StarSpace) tuned and benchmarked on a variety of datasets.

Python library for CMA Evolution Strategy.

Easy Hyper Parameter Optimization with mlr and mlrMBO.

PyTorch implementation of Proximal Gradient Algorithms a la Parikh and Boyd (2014). Useful for Auto-Sizing (Murray and Chiang 2015, Murray et al. 2019).

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Streamlined machine learning experiment management.

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