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Topics: hyperparameter-optimization

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1 repository by Attention Score · May 7, 2026 – Nov 2, 2026 (UTC)

Language: Jupyter Notebook
Topic: hyperparameter-optimization
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1.EpistasisLab / tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

machine-learning
python
data-science
automl
automation
scikit-learn
+14 more

Jupyter Notebook LGPL-3.010K total1.6K forks

+55 stars

from 10,000 · score 4.03

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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)

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The longest window is 180 days. Star History from the Repository Host goes back at most 180 days before a repository's first Observation. A longer window needs more days of Observations first. A repository younger than the window is not ranked in it.

The filters narrow 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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