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EpistasisLab/tpot

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

Jupyter Notebook LGPL-3.0 main Stack scanned README.md
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Stars
10,047
Forks
1,565
Watchers
272
Issues
310
Commits
551
Awesome lists
2

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Latest capture 2026-07-08 03:02

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Commit velocity, last 7 days
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Stars since baseline
-4
Snapshot coverage
6

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6 captures since 2026-05-22

Stars from baseline -4

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Detected stack

Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.

Scanned 2026-07-08 03:02

Stack signals
1
Package managers
1
Manifest files
1
Dependencies
34

Frameworks and tools

  • pytest test framework · high confidence
PEP 517 python

Dependency files

1 manifest
  • pyproject.toml python ecosystem, 34 dependencies

Classification

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Topics
20
Tags
0
Stacks
1

Topics

#adsp #ag066833 #aiml #alzheimer #alzheimers #automated-machine-learning #automation #automl #data-science #feature-engineering #gradient-boosting #hyperparameter-optimization #machine-learning #model-selection #nia #parameter-tuning #python #random-forest #scikit-learn #u01ag066833

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Stack labels

pytest

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Metadata

Language
Jupyter Notebook
License
LGPL-3.0
Default branch
main
Created
2015-11-03
First commit
2023-03-24
Last pushed
2025-09-11
GitHub updated
2026-07-07
Last synced
2026-07-08 03:02
Stack detected
2026-07-08 03:02
Archived
no

Links and files

GitHub Website

http://epistasislab.github.io/tpot/

README

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