Alternatives and similar repositories for k-means-constrained

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

• jingw2 / size_constrained_clustering
  Implementation of Size Constrained Clustering Algorithm
  ☆51Updated last year
• scikit-activeml / scikit-activeml
  scikit-activeml: A Comprehensive and User-friendly Active Learning Library
  ☆175Updated this week
• sbadirli / GrowNet
  ☆205Updated 3 years ago
• nd7141 / bgnn
  ☆173Updated last year
• Behrouz-Babaki / MinSizeKmeans
  A python implementation of KMeans clustering with minimum cluster size constraint (Bradley et al., 2000)
  ☆84Updated 4 years ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆159Updated 3 years ago
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆88Updated 2 years ago
• diningphil / PyDGN
  A research library for automating experiments on Deep Graph Networks
  ☆223Updated 2 months ago
• pulearn / pulearn
  Positive-unlabeled learning with Python.
  ☆239Updated 3 weeks ago
• sknetwork-team / scikit-network
  Graph Algorithms
  ☆623Updated last month
• guilgautier / DPPy
  Python toolbox for sampling Determinantal Point Processes
  ☆234Updated last year
• benedekrozemberczki / shapley
  The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
  ☆221Updated 2 years ago
• nathanwang000 / Shapley-Flow
  ☆50Updated 2 years ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆176Updated 3 years ago
• snap-stanford / deepsnap
  Python library assists deep learning on graphs
  ☆564Updated last year
• jvkersch / pyconcorde
  Python wrapper around the Concorde TSP solver
  ☆387Updated 6 months ago
• drewwilimitis / hyperbolic-learning
  Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)
  ☆140Updated 5 years ago
• LeoGrin / tabular-benchmark
  ☆492Updated last year
• yandex-research / GBDT-uncertainty
  ☆58Updated last year
• VHRanger / nodevectors
  Fastest network node embeddings in the west
  ☆554Updated 10 months ago
• yromano / cqr
  Conformalized Quantile Regression
  ☆290Updated 3 years ago
• gbolmier / funk-svd
  A python fast implementation of the famous SVD algorithm popularized by Simon Funk during Netflix Prize
  ☆224Updated 3 years ago
• wOOL / DNDT
  Deep Neural Decision Trees
  ☆163Updated 3 years ago
• yandex-research / rtdl-num-embeddings
  (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
  ☆383Updated 6 months ago
• sherbold / autorank
  ☆86Updated 4 months ago
• d909b / cxplain
  Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
  ☆132Updated 5 years ago
• tommyod / paretoset
  Compute the Pareto (non-dominated) set, i.e., skyline operator/query.
  ☆68Updated 5 months ago
• jingxil / Neural-Decision-Forests
  An implementation of the Deep Neural Decision Forests in PyTorch
  ☆165Updated 6 years ago
• hadijomaa / dataset2vec
  ☆33Updated 4 years ago
• pyg-team / pytorch-frame
  Tabular Deep Learning Library for PyTorch
  ☆713Updated last week