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pami

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

orange3-associate

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

pytsetlinmachine

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

apriori-python

🔨 Python implementation of Apriori algorithm, new and simple!

bluewhale3-associate

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

rasterminer

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

arulespy

Python interface to arules for association rule mining

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.

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.

orange3-associate-zh

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

blauwal3-associate

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