Alternatives and similar repositories for kenchi:

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

• NikhilGupta1997 / LookOut
  Beyond Outlier Detection: LookOut for Pictorial Explanation
  ☆26Updated 6 years ago
• viveksck / changepoint
  Change Point detection python
  ☆40Updated 2 years ago
• yzhao062 / XGBOD
  Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"
  ☆82Updated 5 years ago
• binhmop / tsbitmaps
  Time-series Bitmap model for anomaly detection
  ☆16Updated 7 years ago
• statefb / singular-spectrum-transformation
  fast implementation of singular spectrum transformation (change point detection algorithm)
  ☆51Updated 6 years ago
• vatsalsharan / pidforest
  Code for the PIDForest algorithm for anomaly detection
  ☆28Updated 5 years ago
• pfmarteau / HIF
  Hybrid Isolation Forest
  ☆24Updated 6 years ago
• Vincent-Vercruyssen / anomatools
  Toolbox for anomaly detection.
  ☆79Updated last year
• zli37 / bayesianRuleSet
  Using Bayesian inference to mine rule sets
  ☆10Updated 5 years ago
• tcassou / mlencoders
  Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.
  ☆23Updated 4 years ago
• lacava / few
  a feature engineering wrapper for sklearn
  ☆51Updated 4 years ago
• jnothman / searchgrid
  Helpers for constructing scikit-learn grid search
  ☆38Updated 5 years ago
• alipsgh / tornado
  The Tornado framework, designed and implemented for adaptive online learning and data stream mining in Python.
  ☆129Updated last year
• PanpanZheng / SAFE
  ☆34Updated 4 years ago
• experiencor / online-machine-learning
  Implementation of an online learning algorithm to do classification under concept drift
  ☆23Updated 7 years ago
• mast-group / sequence-mining
  Probabilistic Sequence Mining
  ☆45Updated 6 years ago
• w4k2 / stream-learn
  The stream-learn is an open-source Python library for difficult data stream analysis.
  ☆63Updated 3 weeks ago
• wangz10 / class_imbalance
  Jupyter Notebook presentation for class imbalance in binary classification
  ☆49Updated 6 years ago
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated 2 years ago
• sato9hara / defragTrees
  Python code for tree ensemble interpretation
  ☆83Updated 4 years ago
• Oracen-zz / MIDAS
  Multiple imputation utilising denoising autoencoder for approximate Bayesian inference
  ☆121Updated 5 years ago
• shubhomoydas / pyaad
  Implementation of Active Anomaly Discovery (AAD) in Python
  ☆15Updated 7 years ago
• yzhao062 / DCSO
  Supplementary material for KDD 2018 workshop "DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles"
  ☆19Updated 6 years ago
• YoungHJung / OnlineBoostingWithVFDT
  Online multiclass boosting algorithm that uses VFDT as weak learners
  ☆16Updated 6 years ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• nnikolaou / Cost-sensitive-Boosting-Tutorial
  Tutorial on cost-sensitive boosting and calibrated AdaMEC.
  ☆26Updated 7 years ago
• hamaadshah / gan_tensorflow
  Automatic feature engineering using Generative Adversarial Networks using TensorFlow.
  ☆51Updated 2 years ago
• jmbhughes / crcf
  Combination Robust Cut Forests: Merging Isolation Forests and Robust Random Cut Forests
  ☆14Updated last year
• chaitanya-m / kdd2018
  Files submitted to kdd2018 for EFDT paper
  ☆22Updated 6 years ago
• tmadl / sklearn-random-rotation-ensembles
  Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)
  ☆43Updated 9 years ago