Western-OC2-Lab / AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

Date Created 2022-09-09 (about a year ago)

Commits 35 (last one about a month ago)

Stargazers 614 (0 this week)

Watchers 68 (0 this week)

Forks 108

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RepositoryStats indexes 534,551 repositories, of these Western-OC2-Lab/AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics is ranked #73,567 (86th percentile) for total stargazers, and #28,574 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #1,504/14,929.

Western-OC2-Lab/AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics is also tagged with popular topics, for these it's ranked: deep-learning (#1,716/7827), machine-learning (#1,719/7371), iot (#232/1097), automl (#69/204), feature-engineering (#34/107)

All Topics

iot automl data-streams concept-drift deep-learning python-samples model-selection python-examples machine-learning data-preprocessing iot-data-analytics feature-engineering hyperparameter-tuning data-stream-processing automated-machine-learning intrusion-detection-system

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35 commits on the default branch (main) since jan '22

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The only known language in this repository is Jupyter Notebook

updated: 2024-06-17 @ 06:51am, id: 534477565 / R_kgDOH9t6_Q