Neuraxio / Neuraxle

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

Date Created 2019-03-26 (6 years ago)

Commits 1,877 (last one 2 years ago)

Stargazers 610 (0 this week)

Watchers 18 (0 this week)

Forks 62

License apache-2.0

Ranking

RepositoryStats indexes 633,559 repositories, of these Neuraxio/Neuraxle is ranked #81,639 (87th percentile) for total stargazers, and #120,372 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #13,484/129,482.

Neuraxio/Neuraxle is also tagged with popular topics, for these it's ranked: deep-learning (#1,860/8818), machine-learning (#1,867/8412), framework (#550/1896), pipeline (#75/460), scikit-learn (#110/366), python-library (#59/361), hyperparameter-optimization (#36/127)

Other Information

Neuraxio/Neuraxle has 1 open pull request on Github, 165 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there is 1 open issue and 316 closed issues.

There have been 27 releases, the latest one was published on 2022-08-16 (2 years ago) with the name 0.8.1.

Homepage URL: https://www.neuraxle.org/

All Topics

neuraxle parallel pipeline framework scikit-learn deep-learning python-library hyperparameters machine-learning pipeline-framework hyperparameter-search hyperparameter-tuning hyperparameter-optimization

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235 commits on the default branch (master) since jan '22

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updated: 2025-03-08 @ 09:35am, id: 177868131 / R_kgDOCpoNYw