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Maximum Likelihood Rule Ensembles (MLRules) is a new rule induction algorithm for solving classification problems via probability estimation. The ensemble is built using boosting, by greedily minimizing the negative loglikelihood which results in ...
Last Release on Jul 26, 2023
115.Hnswlib
com.github.jelmerk » hnswlib-parent-pom Apache
Fast approximative nearest neighbour search using the HNSW algorithm
Last Release on Dec 30, 2022
118.UAMDS
Java implementation of Uncertainty-Aware Multidimensional Scaling (UAMDS).
UAMDS is a dimensionality reduction algorithm for sets of multivariate
normal distributions.
Last Release on Mar 16, 2023
120.Label Editor
UI component for image segmentation label comparison and selection
Last Release on Sep 5, 2023