thomas-young-2013 / mindware

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

Date Created 2019-11-14 (4 years ago)

Commits 1,247 (last one 2 years ago)

Stargazers 54 (0 this week)

Watchers 4 (0 this week)

Forks 26

License mit

Ranking

RepositoryStats indexes 534,880 repositories, of these thomas-young-2013/mindware is ranked #410,514 (23rd percentile) for total stargazers, and #354,941 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #76,213/103,597.

thomas-young-2013/mindware is also tagged with popular topics, for these it's ranked: python (#16,787/20457), deep-learning (#6,385/7826), machine-learning (#6,041/7374), data-science (#1,661/1973), automation (#1,370/1729), machinelearning (#190/239), automl (#182/204), hyperparameter-optimization (#91/115), feature-engineering (#91/107)

Other Information

thomas-young-2013/mindware has Github issues enabled, there are 2 open issues and 2 closed issues.

There have been 1 release, the latest one was published on 2021-04-21 (3 years ago)

Homepage URL: https://mindware.readthedocs.io

All Topics

pypi automl python automation data-science deep-learning machinelearning machine-learning automl-algorithms ensemble-learning feature-engineering bayesian-optimization hyperparameter-tuning machinelearning-python machine-learning-models machine-learning-projects automated-machine-learning hyperparameter-optimization

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

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The primary language is Python but there's also others...

updated: 2024-05-31 @ 04:36pm, id: 221760728 / R_kgDODTfM2A