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- DenMune a clustering algorithm that can find clusters of arbitrary size, shapes and densities in two-dimensions. Higher dimensions are first reduced to 2-D using the t-sne. The algorithm relies on a single parameter K (the number of nearest neighbors). The results show the superiority of DenMune. Enjoy the simplicty but the power of DenMune.
- A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
sklearn-ann
PublicIntegration with (approximate) nearest neighbors libraries for scikit-learn + clustering based on with kNN-graphs.project-template
Public templateimbalanced-learn
PublicA Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learninghiclass
Publichdbscan
PublicA high performance implementation of HDBSCAN clustering.skglm
Publicqolmat
Publicscikit-learn-extra
Publiccategory_encoders
Publicboruta_py
Publicmetric-learn
PublicMetric learning algorithms in Pythonscikit-dimension
Publicskdag
PublicDESlib
PublicA Python library for dynamic classifier and ensemble selectionskope-rules
Publicpy-earth
Public archivelightning
Public archiveLarge-scale linear classification, regression and ranking in Pythonsklearn-pandas
Publicstability-selection
Public archivescikit-learn compatible implementation of stability selection.scikit-learn-contrib
Publicpolylearn
Public archiveA library for factorization machines and polynomial networks for classification and regression in Python.mimic
Public archivemimic calibration