Alternatives and similar repositories for clogistic

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

• xRiskLab / xBooster
  Explainable Boosted Scoring with Python: turning XGBoost and CatBoost classifiers into explainable scorecards
  ☆18Updated 3 weeks ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆225Updated 2 years ago
• ing-bank / skorecard
  scikit-learn compatible tools for building credit risk acceptance models
  ☆104Updated 8 months ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 4 years ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆118Updated 2 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆147Updated 2 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• guillermo-navas-palencia / cprior
  Fast Bayesian A/B and Multivariate testing.
  ☆36Updated 2 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 3 years ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated 2 months ago
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 4 years ago
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆162Updated last year
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆157Updated last year
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 4 years ago
• lorentzenchr / model-diagnostics
  Tools for diagnostics and assessment of (machine learning) models
  ☆39Updated 3 months ago
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆65Updated 7 months ago
• andrewtavis / causeinfer
  Machine learning based causal inference/uplift in Python
  ☆61Updated last year
• partofthething / ace
  Python package for performing the Alternating Conditional Expectation (ACE) regression
  ☆72Updated 2 years ago
• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆94Updated last year
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆52Updated 4 years ago
• Y-oHr-N / OptGBM
  Optuna + LightGBM = OptGBM
  ☆35Updated 3 years ago
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆84Updated 3 months ago
• mavillan / tsforest
  Time series forecasting with tree ensembles
  ☆13Updated 4 years ago
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆167Updated 2 weeks ago
• jessegrabowski / statespace-presentation
  Presentation materials for PyMC Statespace
  ☆25Updated last year
• manuel-calzolari / shapicant
  Feature selection package based on SHAP and target permutation, for pandas and Spark
  ☆31Updated 3 years ago
• tblume1992 / LazyProphet
  Time Series Forecasting with LightGBM
  ☆86Updated 3 years ago
• NorskRegnesentral / skchange
  skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms
  ☆37Updated last month
• AngelPone / pyhts
  A python package for hierarchical forecasting, inspired by hts package in R.
  ☆28Updated 8 months ago