Alternatives and similar repositories for pycaleva

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

• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆31Updated last week
• predict-idlab / cct-cmc
  Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner
  ☆16Updated last month
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆111Updated 2 months ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆67Updated last month
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆30Updated last week
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆165Updated 10 months ago
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆48Updated 3 years ago
• tblume1992 / MFLES
  ☆115Updated last year
• xRiskLab / pearsonify
  Lightweight Python package for generating classification intervals in binary classification tasks using Pearson residuals and conformal p…
  ☆19Updated last month
• donlapark / coverforest
  A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
  ☆44Updated 2 months ago
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆79Updated this week
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆69Updated 11 months ago
• OliverHennhoefer / unquad
  Conformal Anomaly Detection
  ☆48Updated this week
• jefferythewind / warpgbm
  WarpGBM: High-Speed Gradient Boosting
  ☆79Updated 2 weeks ago
• rabia174 / ConformaSight
  Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.
  ☆26Updated 5 months ago
• jmoralez / window_ops
  Fast window operations
  ☆44Updated last year
• smazzanti / tds_features_important_doesnt_mean_good
  ☆32Updated last year
• ran-xie / boosted-conformal
  ☆39Updated 6 months ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆73Updated last year
• FBruzzesi / sklearn-smithy
  Toolkit to forge scikit-learn compatible estimators
  ☆19Updated last week
• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆89Updated 10 months ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆233Updated 2 weeks ago
• se-jaeger / conformal-data-cleaning
  Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…
  ☆22Updated last year
• predict-idlab / crepes-weighted
  Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.
  ☆22Updated 4 months ago
• ThomasMeissnerDS / BlueCast
  A lightweight and fast auto-ml library
  ☆77Updated 3 months ago
• vacquaviva / IntroConformalPredictions
  A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…
  ☆12Updated last year
• Nixtla / coreforecast
  Fast implementations of common forecasting routines
  ☆40Updated this week
• MichelLutz1994 / Conformal_Prediction
  This projects contains different conformal methods and approaches. Includes code generated for a experimental evaluation of a multidimens…
  ☆19Updated 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 4 months ago
• Nixtla / utilsforecast
  Helper functions to plot, evaluate, preprocess and engineer features for forecasting
  ☆76Updated 3 weeks ago