Alternatives and similar repositories for CountsOutlierDetector

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

• MLDreamer / Linkedin-posts
  ☆25Updated last month
• MartinWeigl / pycaleva
  A framework for calibration measurement of binary probabilistic models
  ☆29Updated last year
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 3 years ago
• predict-idlab / cct-cmc
  Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner
  ☆17Updated 8 months ago
• Matt-OP / fasteda
  A python module that provides a quick way to overview a DataFrame
  ☆50Updated 3 years ago
• Brett-Kennedy / ikNN
  An interpretable kNN based on aggregating the predictions of multiple 2d spaces.
  ☆13Updated last year
• Brett-Kennedy / ClassificationThresholdTuner
  Tool to set the thresholds for classification problems and to visualize the implications of potential thresholds.
  ☆39Updated last year
• vacquaviva / IntroConformalPredictions
  A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…
  ☆12Updated last year
• smazzanti / valicast
  Validation for forecasts
  ☆17Updated 2 years ago
• AlxndrMlk / blogs-code
  Code for blog posts.
  ☆20Updated 2 years ago
• AidanCooper / shap-clustering
  How to use SHAP values for better cluster analysis
  ☆60Updated 3 years ago
• KishManani / m5-forecasting-tutorial
  An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.
  ☆20Updated 3 years ago
• grahamharrison68 / Public-Github
  Repository for GH public projects
  ☆18Updated last year
• erykml / nvidia_articles
  Code used for articles published at Nvidia's Developer Blog
  ☆11Updated 3 years ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆56Updated last year
• soda-inria / survival-analysis-benchmark
  Exploratory repository to study predictive survival analysis models
  ☆37Updated 2 years ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆74Updated this week
• tblume1992 / ConformalImpact
  Causal Impact but with MFLES and conformal prediction intervals
  ☆33Updated last year
• FBruzzesi / sklearn-smithy
  Toolkit to forge scikit-learn compatible estimators
  ☆19Updated last week
• FlorinAndrei / misc
  a catch-all repo
  ☆11Updated 2 years ago
• smazzanti / tds_features_important_doesnt_mean_good
  ☆32Updated 2 years ago
• scikit-learn-contrib / skdag
  A more flexible alternative to scikit-learn Pipelines
  ☆37Updated 7 months ago
• dubovikmaster / parallel-pandas
  Parallel processing on pandas with progress bars
  ☆61Updated 7 months ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆92Updated 2 years ago
• takechanman1228 / Effective-Uplift-Modeling
  ☆25Updated last year
• sktime / sktime-tutorial-pydata-global-2022
  sktime - python toolbox for time series: pipelines and transformers
  ☆25Updated 3 years ago
• yubin-park / califorest
  Calibrated Random Forests
  ☆40Updated 5 years ago
• cetagostini / marketing-science-projects
  Mis proyectos de marketing aplicando AI
  ☆11Updated 3 months ago
• RektPunk / MQBoost
  Multiple quantiles estimation model maintaining non-crossing condition (or monotone quantile condition) and preventing quantile crossing …
  ☆39Updated last year
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆27Updated 3 years ago