Alternatives and similar repositories for ikpls

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

• sm00thix / cvmatrix
  Computation of training set (X^T * W * X) and (X^T * W * Y) or (X^T * X) and (X^T * Y) in a cross-validation setting using the fast algor…
  ☆21Updated this week
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆115Updated 3 months ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆71Updated last week
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆251Updated this week
• harrisp / GPyConform
  ☆50Updated 3 months ago
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆120Updated 9 months ago
• ran-xie / boosted-conformal
  ☆41Updated last year
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆104Updated last month
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 4 years ago
• pjaselin / Cubist
  A Python package for fitting Quinlan's Cubist regression model
  ☆58Updated 3 weeks ago
• OliverHennhoefer / nonconform
  Conformal Anomaly Detection
  ☆51Updated 3 weeks ago
• vincentblot28 / conformalized_gp
  ☆48Updated 11 months ago
• sktime / skbase
  Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
  ☆31Updated this week
• MartinWeigl / pycaleva
  A framework for calibration measurement of binary probabilistic models
  ☆29Updated last year
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆120Updated 2 years ago
• xRiskLab / pearsonify
  Lightweight Python package for generating classification intervals in binary classification tasks using Pearson residuals and conformal p…
  ☆23Updated 7 months ago
• DynamicsAndNeuralSystems / pycatch22
  python implementation of catch22
  ☆90Updated 5 months ago
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆50Updated 3 years ago
• koaning / scikit-mdn
  A mixture density network, by PyTorch, for scikit-learn
  ☆24Updated last year
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆87Updated 6 months ago
• Brett-Kennedy / ClassificationThresholdTuner
  Tool to set the thresholds for classification problems and to visualize the implications of potential thresholds.
  ☆40Updated last year
• NorskRegnesentral / skchange
  skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms
  ☆41Updated 3 months ago
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆191Updated 3 months ago
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆71Updated 3 weeks ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆75Updated last year
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆58Updated 2 years ago
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆162Updated last year
• microprediction / humpday
  Elo ratings for global black box derivative-free optimizers
  ☆142Updated 11 months ago
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆33Updated 2 months ago
• predict-idlab / crepes-weighted
  Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.
  ☆23Updated 10 months ago