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
• t-sakai-kure / pywsl
  Python codes for weakly-supervised learning
  ☆125Updated 5 years ago
• ElieAljalbout / Clustering-with-Deep-learning
  Generic implementation for clustering with deep learning : representation learning (DNN) + clustering
  ☆295Updated 7 years ago
• dkaterenchuk / ranking_measures
  RankDCG: ranking/ordering evaluation measure
  ☆38Updated 4 years ago
• tsoumakas / mulan
  ☆68Updated 3 years ago
• jasonlaska / spherecluster
  Clustering routines for the unit sphere
  ☆353Updated last year
• Refefer / fastxml
  FastXML / PFastXML / PFastreXML - Implementation of Extreme Multi-label Classification
  ☆149Updated last year
• shahsohil / DCC
  This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper
  ☆215Updated 4 years ago
• aldro61 / pu-learning
  Positive and unlabeled learning wrappers for scikit-learn
  ☆235Updated 7 years ago
• wOOL / DNDT
  Deep Neural Decision Trees
  ☆164Updated 3 years ago
• ksenia-konyushkova / LAL
  This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017
  ☆88Updated 3 years ago
• globality-corp / sklearn-hierarchical-classification
  ☆66Updated 2 years ago
• junliangma / gbssl
  Graph-Based Semi-Supervised Learning Algorithms
  ☆23Updated 9 years ago
• iesl / xcluster
  Algorithms and evaluation tools for extreme clustering
  ☆73Updated 6 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
• hugochan / KATE
  Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"
  ☆146Updated 2 years ago
• scikit-multilearn / scikit-multilearn
  A scikit-learn based module for multi-label et. al. classification
  ☆953Updated last year
• vyraun / Half-Size
  Code for "Effective Dimensionality Reduction for Word Embeddings".
  ☆133Updated 4 years ago
• fferroni / DEC-Keras
  Deep Embedding Clustering in Keras
  ☆132Updated 8 years ago
• XifengGuo / DEC-keras
  Keras implementation for Deep Embedding Clustering (DEC)
  ☆496Updated 2 years ago
• joewandy / hlda
  Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model
  ☆154Updated this week
• jlsuarezdiaz / pyDML
  Distance Metric Learning Algorithms for Python
  ☆175Updated 4 years ago
• EthanRosenthal / spacecutter
  Ordinal regression models in PyTorch
  ☆148Updated 3 years ago
• fabianp / mord
  Ordinal regression algorithms
  ☆271Updated 2 years ago
• Azure / active-learning-workshop
  Active Learning Workshop Materials
  ☆121Updated 6 years ago
• cthurau / pymf
  Python Matrix Factorization Module
  ☆138Updated 6 years ago
• bastings / annotated_encoder_decoder
  The Annotated Encoder Decoder with Attention
  ☆167Updated 4 years ago
• CyberZHG / keras-layer-normalization
  Layer normalization implemented in Keras
  ☆60Updated 3 years ago
• IBM / WordMoversEmbeddings
  WordMoversEmbeddings(WME) is a simple code for generating the vector representation of sentence/document for text classification and clus…
  ☆83Updated 7 years ago
• seba-1511 / lstms.pth
  PyTorch implementations of LSTM Variants (Dropout + Layer Norm)
  ☆137Updated 4 years ago