Alternatives and similar repositories for MFLES

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

• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆191Updated this 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
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆72Updated last week
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆33Updated 2 months ago
• jefferythewind / warpgbm
  WarpGBM: High-Speed Gradient Boosting
  ☆93Updated 2 months ago
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆104Updated 2 months ago
• ran-xie / boosted-conformal
  ☆41Updated last year
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆88Updated 6 months ago
• noklam / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆61Updated 2 years ago
• donlapark / coverforest
  A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
  ☆44Updated 5 months ago
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆117Updated 9 months 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
• rabia174 / ConformaSight
  Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.
  ☆26Updated 11 months ago
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆50Updated 3 years ago
• tblume1992 / ConformalImpact
  Causal Impact but with MFLES and conformal prediction intervals
  ☆33Updated last year
• Nixtla / utilsforecast
  Helper functions to plot, evaluate, preprocess and engineer features for forecasting
  ☆98Updated this week
• getml / getml-community
  Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.
  ☆232Updated 3 months ago
• joneswack / conformal-predictions-from-scratch
  Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
  ☆227Updated 2 years ago
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆162Updated last year
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆197Updated 3 weeks ago
• jmoralez / window_ops
  Fast window operations
  ☆45Updated last year
• valeman / Awesome_CatBoost
  The repository to showcase the best framework for tabular data - the Awesome CatBoost
  ☆280Updated 5 months ago
• harrisp / GPyConform
  ☆50Updated 4 months ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆298Updated last week
• Nixtla / coreforecast
  Fast implementations of common forecasting routines
  ☆43Updated 2 weeks ago
• zedshape / zgrouping
  ☆24Updated 3 years ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆75Updated last year
• 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
• OVVO-Financial / NNS
  Nonlinear Nonparametric Statistics
  ☆100Updated 2 weeks ago