Alternatives and similar repositories for COP-Kmeans

Users that are interested in COP-Kmeans are comparing it to the libraries listed below

• datamole-ai / active-semi-supervised-clustering
  Active semi-supervised clustering algorithms for scikit-learn
  ☆102Updated 5 years ago
• ElieAljalbout / Clustering-with-Deep-learning
  Generic implementation for clustering with deep learning : representation learning (DNN) + clustering
  ☆293Updated 7 years ago
• shahsohil / DCC
  This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper
  ☆214Updated 4 years ago
• t-sakai-kure / pywsl
  Python codes for weakly-supervised learning
  ☆124Updated 5 years ago
• jasonlaska / spherecluster
  Clustering routines for the unit sphere
  ☆349Updated last year
• Behrouz-Babaki / MinSizeKmeans
  A python implementation of KMeans clustering with minimum cluster size constraint (Bradley et al., 2000)
  ☆84Updated 4 years ago
• wOOL / DNDT
  Deep Neural Decision Trees
  ☆161Updated 3 years ago
• keitakurita / Better_LSTM_PyTorch
  An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.
  ☆134Updated 5 years ago
• XifengGuo / DEC-keras
  Keras implementation for Deep Embedding Clustering (DEC)
  ☆490Updated 2 years ago
• globality-corp / sklearn-hierarchical-classification
  ☆66Updated 2 years ago
• piiswrong / dec
  ☆482Updated 5 years ago
• fferroni / DEC-Keras
  Deep Embedding Clustering in Keras
  ☆132Updated 8 years ago
• joewandy / hlda
  Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model
  ☆153Updated 2 months ago
• leimao / Two-Layer-Hierarchical-Softmax-PyTorch
  Two-Layer Hierarchical Softmax Implementation for PyTorch
  ☆70Updated 4 years ago
• Refefer / fastxml
  FastXML / PFastXML / PFastreXML - Implementation of Extreme Multi-label Classification
  ☆149Updated last year
• aldro61 / pu-learning
  Positive and unlabeled learning wrappers for scikit-learn
  ☆233Updated 7 years ago
• scikit-multilearn / scikit-multilearn
  A scikit-learn based module for multi-label et. al. classification
  ☆945Updated last year
• dkaterenchuk / ranking_measures
  RankDCG: ranking/ordering evaluation measure
  ☆38Updated 3 years ago
• fabianp / mord
  Ordinal regression algorithms
  ☆268Updated 2 years ago
• tsoumakas / mulan
  ☆67Updated 2 years ago
• mttk / rnn-classifier
  Minimal RNN classifier with self-attention in Pytorch
  ☆150Updated 3 years ago
• EthanRosenthal / spacecutter
  Ordinal regression models in PyTorch
  ☆146Updated 3 years ago
• rymc / n2d
  A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …
  ☆138Updated last year
• iesl / xcluster
  Algorithms and evaluation tools for extreme clustering
  ☆73Updated 6 years ago
• vyraun / Half-Size
  Code for "Effective Dimensionality Reduction for Word Embeddings".
  ☆132Updated 4 years ago
• fanglanting / skip-gram-pytorch
  A complete pytorch implementation of skip-gram
  ☆190Updated 7 years ago
• jlsuarezdiaz / pyDML
  Distance Metric Learning Algorithms for Python
  ☆173Updated 4 years ago
• cthurau / pymf
  Python Matrix Factorization Module
  ☆137Updated 6 years ago
• Azure / active-learning-workshop
  Active Learning Workshop Materials
  ☆121Updated 6 years ago
• yumeng5 / Spherical-Text-Embedding
  [NeurIPS 2019] Spherical Text Embedding
  ☆179Updated last year