Alternatives and similar repositories for isotonic

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

• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆66Updated last year
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 3 years ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆75Updated last year
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆88Updated 6 months ago
• koaning / scikit-partial
  Pipeline components that support partial_fit.
  ☆46Updated last year
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆44Updated 3 months ago
• microprediction / timeseries-elo-ratings
  Elo ratings for time-series forecasting packages
  ☆25Updated 4 years ago
• ianozsvald / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆86Updated 2 years ago
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆58Updated 2 years ago
• FBruzzesi / timebasedcv
  Time based splits for cross validation
  ☆39Updated this week
• microsoft / CBM
  Cyclic Boosting Machines - an explainable supervised machine learning algorithm
  ☆62Updated last year
• tblume1992 / MFLES
  ☆115Updated last year
• MaxHalford / starboost
  Gradient boosting on steroids
  ☆28Updated last year
• FBruzzesi / sklearn-smithy
  Toolkit to forge scikit-learn compatible estimators
  ☆19Updated this week
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆157Updated last year
• Quantco / tabmat
  Efficient matrix representations for working with tabular data
  ☆132Updated this week
• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆94Updated last year
• koaning / scikit-mdn
  A mixture density network, by PyTorch, for scikit-learn
  ☆24Updated last year
• yubin-park / palobst
  PaloBoost is an overfitting-robust Gradient Boosting algorithm.
  ☆15Updated 6 years ago
• koaning / scikit-playtime
  Rethinking machine learning pipelines
  ☆34Updated 4 months ago
• MartinWeigl / pycaleva
  A framework for calibration measurement of binary probabilistic models
  ☆29Updated last year
• supsi-dacd-isaac / mbtr
  Multivariate Boosted TRee
  ☆63Updated 3 years ago
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 4 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆149Updated 2 years ago
• Alcampopiano / hypothesize
  Robust statistics in Python
  ☆68Updated 7 months ago
• BCG-X-Official / sklearndf
  DataFrame support for scikit-learn.
  ☆63Updated 4 months ago
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆120Updated 10 months ago
• zedshape / zgrouping
  ☆24Updated 3 years ago
• interpretml / slicer
  Unified slicing for all Python data structures.
  ☆37Updated 6 months ago
• tblume1992 / ConformalImpact
  Causal Impact but with MFLES and conformal prediction intervals
  ☆33Updated last year