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- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
skglm
Publicsklearn-ann
PublicIntegration with (approximate) nearest neighbors libraries for scikit-learn + clustering based on with kNN-graphs.- A collection of scikit-learn compatible utilities that implement methods born out of the materials science and chemistry communities
- A fast canonical-correlation-based greedy search algorithm for feature selection, system identification, data pruning, etc.
radius_clustering
PublicSource code repository of the Radius clustering python package.qolmat
Public- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
hdbscan
PublicA high performance implementation of HDBSCAN clustering.category_encoders
Publicscikit-learn-contrib
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.
hiclass
Publicproject-template
Public template- Metric learning algorithms in Python
- A Python library for dynamic classifier and ensemble selection
skope-rules
Publiclightning
Public archiveLarge-scale linear classification, regression and ranking in Pythonstability-selection
Public archivescikit-learn compatible implementation of stability selection.- A library for factorization machines and polynomial networks for classification and regression in Python.
- mimic calibration