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Frequent Pattern Mining Python Packages

Python packages with the GitHub topic frequent-pattern-mining. Sorted by relevance, with stars and monthly downloads.
udayLab
pami

PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)

8K 285 231
biolab
orange3-associate

🍊 :package: Frequent itemsets and association rules mining for Orange 3.

8K 68 36
cair
pytsetlinmachine

Implements the Tsetlin Machine, Embedding Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, multigranularity, clause indexing, drop clause/literal, and literal budget.

1K 152 33
chonyy
apriori-python

πŸ”¨ Python implementation of Apriori algorithm, new and simple!

835 68 37
udayRage
rasterminer

PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)

688 285 231
biolab
bluewhale3-associate

η”¨δΊŽζŒ–ζŽ˜ι’‘ηΉι‘Ήι›†ε’Œε…³θ”θ§„εˆ™ηš„θ“ι²Έζ’δ»Ά

647 68 36
mhahsler
arulespy

Python interface to arules for association rule mining

458 11 1
fatihsen20
fimproject

"Frequent Mining Algorithms" is a Python library that includes frequent mining algorithms. This library contains popular algorithms used to discover frequent items and patterns in datasets. Frequent mining is widely used in various applications to uncover significant insights, such as market basket analysis, network traffic analysis, etc.

254 11 0
cair
pytsetlinmachineparallel

Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features and multigranularity.

216 43 10
biolab
orange3-associate-zh

🍊 :package: Frequent itemsets and association rules mining for Orange 3.

207 68 36
biolab
blauwal3-associate

🍊 :package: Frequent itemsets and association rules mining for Orange 3.

158 68 36
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