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- A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
- A high performance implementation of HDBSCAN clustering.
- Integration with (approximate) nearest neighbors libraries for scikit-learn + clustering based on with kNN-graphs.
- 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 Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
skglm
Publicboruta_py
Public- Metric learning algorithms in Python
DESlib
PublicA Python library for dynamic classifier and ensemble selectionpy-earth
Public archive- Large-scale linear classification, regression and ranking in Python
stability-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 calibration