Alternatives and similar repositories for Clique:

Users that are interested in Clique are comparing it to the libraries listed below

• danilkolikov / fsfc
  Feature Selection for Clustering
  ☆96Updated 7 years ago
• surajiyer / Transfer-learning-with-TrAdaBoost
  Scikit-learn style implementation of TrAdaBoost algorithm
  ☆36Updated 7 years ago
• albahnsen / CostSensitiveClassification
  CostSensitiveClassification Library in Python
  ☆208Updated 4 years ago
• NaegleLab / OpenEnsembles
  Code for ensemble clustering
  ☆102Updated 3 years ago
• doubleplusplus / incremental_decision_tree-CART-Random_Forest
  incremental CART decision tree, based on the hoeffding tree i.e. very fast decision tree (VFDT), which is proposed in this paper "Mining …
  ☆103Updated 4 years ago
• narjesmezzi / Clustream-algorithm
  Implementation of the CluStream algorithm
  ☆36Updated 6 years ago
• phuijse / bagging_pu
  Simple sklearn based python implementation of Positive-Unlabeled (PU) classification using bagging based ensembles
  ☆91Updated 8 years ago
• datamole-ai / active-semi-supervised-clustering
  Active semi-supervised clustering algorithms for scikit-learn
  ☆99Updated 5 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 …
  ☆131Updated last year
• yzhao062 / DCSO
  Supplementary material for KDD 2018 workshop "DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles"
  ☆19Updated 6 years ago
• kingfengji / eForest
  This is the official implementation for the paper 'AutoEncoder by Forest'
  ☆75Updated 6 years ago
• OpenIDEA-YunanUniversity / ycimpute
  A missing value imputation library based on machine learning. It's implementation missForest, simple edition of MICE(R pacakge), knn, EM,…
  ☆107Updated last year
• dkaslovsky / Coupled-Biased-Random-Walks
  Outlier detection for categorical data
  ☆29Updated 9 months ago
• yzhao062 / XGBOD
  Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"
  ☆82Updated 5 years ago
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆321Updated last year
• AntoinePassemiers / Encoder-Forest
  eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding
  ☆23Updated 4 years ago
• ZhiningLiu1998 / self-paced-ensemble
  [ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架
  ☆258Updated last year
• blablahaha / concept-drift
  Algorithms for detecting changes from a data stream.
  ☆118Updated 6 years ago
• ikki407 / stacking
  Stacked Generalization (Ensemble Learning)
  ☆223Updated 7 years ago
• issamemari / DenStream
  Python implementation of the data stream clustering algorithm "DenStream"
  ☆61Updated 4 years ago
• PanpanZheng / SAFE
  ☆34Updated 4 years ago
• shiralkarprashant / FCBF
  Houses implementation of the Fast Correlation-Based Filter (FCBF) feature selection method.
  ☆61Updated 3 years ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆212Updated last year
• winstonll / COPOD
  Supplementary material for ICDM 20 paper "COPOD: Copula-Based Outlier Detection"
  ☆60Updated 4 years ago
• david-cortes / costsensitive
  (Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)
  ☆48Updated 3 months ago
• boyangumn / DCN-New
  Updated version of DCN
  ☆84Updated 2 years ago
• cmuxstream / cmuxstream-core
  Static (Python) and streaming (C++) implementations of xStream (KDD 2018).
  ☆30Updated 6 years ago
• maxpumperla / entropy-mdlp
  Minimum description length principle algorithm in Python, for optimal binning of continuous variables
  ☆60Updated 2 years ago
• w4k2 / stream-learn
  The stream-learn is an open-source Python library for difficult data stream analysis.
  ☆63Updated last month
• jasonwbw / DensityPeakCluster
  A cluster framework for 'Clustering by fast search and find of density peaks' in science 2014.
  ☆305Updated 7 years ago