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Tags: AutoML

1.automl / SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

bayesian-optimization
bayesian-optimisation
hyperparameter-optimization
hyperparameter-tuning
hyperparameter-search
configuration
+5 more

Python Other license1.3K total250 forks

+5 stars

from 1,265 · score 1.79

2.hyperopt / hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

hacktoberfest

Python Other license7.6K total1.1K forks

+2 stars

from 7,598 · score 1.10

3.hyperopt / hyperopt-sklearn

Hyper-parameter optimization for sklearn

Python Other license1.6K total273 forks

+1 stars

from 1,648 · score 0.69

4.yandex / rep

Machine Learning toolbox for Humans

Jupyter Notebook Other license701 total145 forks

+1 stars

from 700 · score 0.69

Order: Attention Score

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Ranked by stars gained in the window. The score is the natural log of one plus that gain, so a repository's rank is exactly its star gain's rank.

score = log1p(net stars gained in the trailing T complete UTC days)

A repository is ranked only when its Star History covers every day of the window and its latest Observation is not missing.

The longest window is 180 days. Star History from the Repository Host goes back at most 180 days before the first daily record that AwesomeRepos made for the repository. A longer window needs more of these daily records first. A repository younger than the window does not rank in it.

The filters select from the same eligible repositories. A repository matches the topics when it has any of them. Total stars is the count now. Last push and creation on the Repository Host count back from the start of today (UTC). The counts beside the languages, licenses, and topics include all ranked repositories in the window. A Tag holds the repositories that have it. See Tags.

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