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Karate Club is an unsupervised machine learning extension library for NetworkX. Karate Club consists of state-of-the-art methods to do unsupervised learning on graph structured data. To put it simply it is a Swiss Army knife for small-scale graph mining research. First, it provides network embedding techniques at the node and graph level. Second, it includes a variety of overlapping and non-overlapping community detection methods. Implemented methods cover a wide range of network science (NetSci, Complenet), data mining (ICDM, CIKM, KDD), artificial intelligence (AAAI, IJCAI) and machine learning (NeurIPS, ICML, ICLR) conferences, workshops, and pieces from prominent journals.
My personal favorite datetime module
> In `more-itertools` we collect additional building blocks, recipes, and routines for working with iterables.
Alphabet order + correct category
Add akshare to downloader item
"[Deprecated] This library has been renamed to "Stanza". Latest development at: https://github.com/stanfordnlp/stanza" Also update the number of supported languages.
Add pyarmor
Add Real Python Podcast
Update stanfordnlp (repo moved)
Add Invoke
Adds dry-python/returns
Add streamlit
Add pdfminer.six
Add stable-baselines3
Add ruff linter
Update Selenium links
Add Flet
add Warp sponsorship
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