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- A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
- Integration with (approximate) nearest neighbors libraries for scikit-learn + clustering based on with kNN-graphs.
- A high performance implementation of HDBSCAN clustering.
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
hiclass
Publicboruta_py
Publicmetric-learn
PublicMetric learning algorithms in Pythonscikit-dimension
Public- 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.
skglm
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