# hyperactive-project/Hyperactive

<https://repo.masters-masters.com/en/repos/hyperactive-project/Hyperactive>

[Home](https://repo.masters-masters.com/en) › [hyperactive-project](https://repo.masters-masters.com/en/owners/hyperactive-project) › [Hyperactive](https://repo.masters-masters.com/en/repos/hyperactive-project/Hyperactive)

hyperactive-project/Hyperactive has 551 stars on GitHub. Its RepoMasters card: Alpha tier. A unified interface for optimization algorithms and experiments

| Field | Value |
| --- | --- |
| Owner | [hyperactive-project](https://repo.masters-masters.com/en/owners/hyperactive-project) |
| Stars | 551 |
| Forks | 72 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | hyperparameter-optimization, scikit-learn, machine-learning, python, data-science, parameter-tuning, xgboost, keras, deep-learning, bayesian-optimization |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [hyperactive-project/Hyperactive](https://github.com/hyperactive-project/Hyperactive) |

## Repository

A unified interface for optimization algorithms and experiments

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.