Alternatives and similar repositories for k-means-constrained

Users that are interested in k-means-constrained are comparing it to the libraries listed below

• sbadirli / GrowNet
  ☆205Updated 3 years ago
• jingw2 / size_constrained_clustering
  Implementation of Size Constrained Clustering Algorithm
  ☆51Updated last year
• nd7141 / bgnn
  ☆171Updated last year
• Behrouz-Babaki / MinSizeKmeans
  A python implementation of KMeans clustering with minimum cluster size constraint (Bradley et al., 2000)
  ☆84Updated 4 years ago
• pulearn / pulearn
  Positive-unlabeled learning with Python.
  ☆239Updated 3 weeks ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆159Updated 2 years ago
• wOOL / DNDT
  Deep Neural Decision Trees
  ☆163Updated 3 years ago
• guilgautier / DPPy
  Python toolbox for sampling Determinantal Point Processes
  ☆232Updated last year
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆87Updated 2 years ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆176Updated 3 years ago
• yromano / cqr
  Conformalized Quantile Regression
  ☆286Updated 3 years ago
• yandex-research / GBDT-uncertainty
  ☆57Updated last year
• sknetwork-team / scikit-network
  Graph Algorithms
  ☆623Updated this week
• hcarlens / pytorch-tabular
  Some examples of using PyTorch for tabular data
  ☆67Updated 5 years ago
• benedekrozemberczki / shapley
  The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
  ☆220Updated 2 years ago
• IBM / TabFormer
  Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
  ☆350Updated 2 weeks ago
• cvxgrp / pymde
  Minimum-distortion embedding with PyTorch
  ☆560Updated 3 months ago
• hadijomaa / dataset2vec
  ☆33Updated 4 years ago
• xuyxu / Soft-Decision-Tree
  PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.
  ☆103Updated last year
• LeoGrin / tabular-benchmark
  ☆486Updated last year
• d909b / cxplain
  Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
  ☆132Updated 5 years ago
• yandex-research / rtdl-num-embeddings
  (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
  ☆379Updated 5 months ago
• sherbold / autorank
  ☆84Updated 3 months ago
• HazyResearch / HypHC
  Hyperbolic Hierarchical Clustering.
  ☆204Updated last year
• talboger / fastdist
  Faster distance calculations in python using numba
  ☆60Updated 2 years ago
• scikit-activeml / scikit-activeml
  scikit-activeml: A Comprehensive and User-friendly Active Learning Library
  ☆172Updated 2 weeks ago
• tommyod / paretoset
  Compute the Pareto (non-dominated) set, i.e., skyline operator/query.
  ☆67Updated 4 months ago
• fidelity / mabwiser
  [IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library
  ☆259Updated last year
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆383Updated last year
• jasonlaska / spherecluster
  Clustering routines for the unit sphere
  ☆350Updated last year