Alternatives and similar repositories for Modeva

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

• rabia174 / ConformaSight
  Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.
  ☆25Updated 3 months ago
• MichelLutz1994 / Conformal_Prediction
  This projects contains different conformal methods and approaches. Includes code generated for a experimental evaluation of a multidimens…
  ☆19Updated last year
• ran-xie / boosted-conformal
  ☆39Updated 5 months ago
• MartinWeigl / pycaleva
  A framework for calibration measurement of binary probabilistic models
  ☆28Updated last year
• xqnwang / conformalForecast
  Methods and tools for multistep-ahead time series conformal prediction.
  ☆37Updated 2 months ago
• tblume1992 / MFLES
  ☆115Updated last year
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆30Updated 3 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
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆65Updated last week
• OliverHennhoefer / unquad
  Conformal Anomaly Detection
  ☆48Updated last week
• tblume1992 / ConformalImpact
  Causal Impact but with MFLES and conformal prediction intervals
  ☆33Updated 5 months ago
• OVVO-Financial / NNS
  Nonlinear Nonparametric Statistics
  ☆76Updated last month
• donlapark / coverforest
  A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
  ☆44Updated last month
• xRiskLab / xBooster
  Explainable Boosted Scoring with Python: turning XGBoost and CatBoost classifiers into explainable scorecards
  ☆15Updated last month
• harrisp / GPyConform
  ☆49Updated 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
  ☆110Updated last month
• yubin-park / califorest
  Calibrated Random Forests
  ☆39Updated 5 years ago
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆26Updated 2 years ago
• Nixtla / coreforecast
  Fast implementations of common forecasting routines
  ☆39Updated last week
• xRiskLab / pearsonify
  Lightweight Python package for generating classification intervals in binary classification tasks using Pearson residuals and conformal p…
  ☆19Updated 3 months ago
• Nixtla / utilsforecast
  Helper functions to plot, evaluate, preprocess and engineer features for forecasting
  ☆72Updated last month
• predict-idlab / cct-cmc
  Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner
  ☆16Updated 2 weeks ago
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 4 years ago
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆47Updated 2 years ago
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆79Updated 6 months ago
• jefferythewind / warpgbm
  WarpGBM: High-Speed Gradient Boosting
  ☆71Updated this week
• yubin-park / palobst
  PaloBoost is an overfitting-robust Gradient Boosting algorithm.
  ☆15Updated 5 years ago
• FBruzzesi / sklearn-smithy
  Toolkit to forge scikit-learn compatible estimators
  ☆18Updated this week
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆69Updated 9 months ago
• MatthewK84 / LinkedIn-Learning-Journey
  Matthew Kolakowski Learning Journey with Articles on Time Series Analysis, Machine Learning, Python Programming, and Systems Engineering.
  ☆29Updated 3 months ago