Alternatives and similar repositories for skchange

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

• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆94Updated last year
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆86Updated 5 months ago
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆115Updated 2 months ago
• DynamicsAndNeuralSystems / pycatch22
  python implementation of catch22
  ☆88Updated 4 months ago
• sktime / skbase
  Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
  ☆31Updated this week
• koaning / scikit-mdn
  A mixture density network, by PyTorch, for scikit-learn
  ☆24Updated last year
• MartinWeigl / pycaleva
  A framework for calibration measurement of binary probabilistic models
  ☆29Updated last year
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆64Updated 9 months ago
• Nixtla / utilsforecast
  Helper functions to plot, evaluate, preprocess and engineer features for forecasting
  ☆94Updated last week
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆72Updated last year
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆197Updated 2 years ago
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆70Updated last week
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆292Updated this week
• sktime / sktime-tutorial-pydata-berlin-2022
  ☆38Updated 3 years ago
• lorentzenchr / model-diagnostics
  Tools for diagnostics and assessment of (machine learning) models
  ☆39Updated last month
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆163Updated last year
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆120Updated 2 years ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆226Updated 2 years ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆157Updated last year
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆250Updated last week
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆70Updated this week
• tblume1992 / MFLES
  ☆115Updated last year
• StatMixedML / Py-BoostLSS
  An extension of Py-Boost to probabilistic modelling
  ☆24Updated 2 years ago
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆104Updated last month
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆70Updated 2 years ago
• georgian-io / pyoats
  Quick and Easy Time Series Outlier Detection
  ☆111Updated 2 months ago
• Nixtla / coreforecast
  Fast implementations of common forecasting routines
  ☆42Updated last week
• jmoralez / window_ops
  Fast window operations
  ☆45Updated last year
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆120Updated 9 months ago
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆112Updated 3 months ago