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.
  ☆26Updated 11 months ago
• tblume1992 / MFLES
  ☆115Updated last year
• ran-xie / boosted-conformal
  ☆41Updated last year
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆191Updated last week
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆72Updated last week
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆116Updated 4 months ago
• jefferythewind / warpgbm
  WarpGBM: High-Speed Gradient Boosting
  ☆93Updated 2 months ago
• xqnwang / conformalForecast
  Methods and tools for multistep-ahead time series conformal prediction.
  ☆44Updated 2 weeks ago
• OVVO-Financial / NNS
  Nonlinear Nonparametric Statistics
  ☆100Updated 2 weeks ago
• yubin-park / califorest
  Calibrated Random Forests
  ☆40Updated 5 years ago
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆72Updated last year
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆252Updated 2 weeks ago
• OliverHennhoefer / nonconform
  Conformal Anomaly Detection
  ☆53Updated last week
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆104Updated 2 months ago
• jakorostami / expectation
  Python library for confidence sequences, sequential testing, e-processes, e-values, and game-theoretic probability.
  ☆79Updated last week
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆88Updated 6 months ago
• harrisp / GPyConform
  ☆50Updated 4 months ago
• MartinWeigl / pycaleva
  A framework for calibration measurement of binary probabilistic models
  ☆29Updated last year
• predict-idlab / crepes-weighted
  Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.
  ☆23Updated 11 months ago
• Nixtla / coreforecast
  Fast implementations of common forecasting routines
  ☆43Updated 2 weeks ago
• Nixtla / utilsforecast
  Helper functions to plot, evaluate, preprocess and engineer features for forecasting
  ☆98Updated this week
• MatthewK84 / LinkedIn-Learning-Journey
  Matthew Kolakowski Learning Journey with Articles on Time Series Analysis, Machine Learning, Python Programming, and Systems Engineering.
  ☆29Updated 2 weeks ago
• yotambraun / APDTFlow
  APDTFlow is a modern and extensible forecasting framework for time series data that leverages advanced techniques including neural ordina…
  ☆42Updated 2 months ago
• MichelLutz1994 / Conformal_Prediction
  This projects contains different conformal methods and approaches. Includes code generated for a experimental evaluation of a multidimens…
  ☆18Updated last year
• tblume1992 / ConformalImpact
  Causal Impact but with MFLES and conformal prediction intervals
  ☆33Updated last year
• predict-idlab / cct-cmc
  Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner
  ☆17Updated 8 months ago
• valeman / Awesome_CatBoost
  The repository to showcase the best framework for tabular data - the Awesome CatBoost
  ☆280Updated 5 months ago
• joneswack / conformal-predictions-from-scratch
  Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
  ☆228Updated 2 years ago
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆27Updated 2 years ago
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆50Updated 3 years ago