Alternatives and similar repositories for igann

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

• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆70Updated last week
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆74Updated last year
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆102Updated 2 years ago
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆343Updated 2 months ago
• SamsungSAILMontreal / ForestDiffusion
  Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models
  ☆162Updated last year
• tunguz / TabularBenchmarks
  ☆202Updated 3 months ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆210Updated last year
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆169Updated last month
• apple / ml-calibration
  relplot: Utilities for measuring calibration and plotting reliability diagrams
  ☆167Updated last month
• soda-inria / tabicl
  Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
  ☆163Updated this week
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• feedzai / fairgbm
  Train Gradient Boosting models that are both high-performance *and* Fair!
  ☆105Updated last month
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆112Updated 3 months ago
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆86Updated 2 years ago
• joneswack / conformal-predictions-from-scratch
  Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
  ☆222Updated last year
• simsal0r / mixture-of-decision-trees
  Mixture of Decision Trees for Interpretable Machine Learning
  ☆11Updated 3 years ago
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆48Updated 3 years ago
• jefferythewind / warpgbm
  WarpGBM: High-Speed Gradient Boosting
  ☆88Updated 2 months ago
• tblume1992 / MFLES
  ☆115Updated last year
• scikit-learn-contrib / hiclass
  A python library for hierarchical classification compatible with scikit-learn
  ☆134Updated 5 months ago
• TomerRonen34 / treeboost_autograd
  Easy Custom Losses for Tree Boosters using Pytorch
  ☆35Updated 4 years ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆67Updated 2 years ago
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆57Updated last year
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆238Updated last week
• henrikbostrom / crepes
  Python package for conformal prediction
  ☆516Updated 2 months ago
• jacobgil / confidenceinterval
  The long missing library for python confidence intervals
  ☆142Updated last year
• DanilZherebtsov / verstack
  ☆100Updated last month
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆156Updated last year
• OliverHennhoefer / nonconform
  Conformal Anomaly Detection
  ☆48Updated this week