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)
  ☆67Updated last month
• jefferythewind / warpgbm
  WarpGBM: High-Speed Gradient Boosting
  ☆75Updated 3 weeks ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆74Updated last year
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆165Updated 9 months ago
• simsal0r / mixture-of-decision-trees
  Mixture of Decision Trees for Interpretable Machine Learning
  ☆11Updated 3 years ago
• tunguz / TabularBenchmarks
  ☆199Updated last month
• soda-inria / tabicl
  Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
  ☆97Updated last week
• ran-xie / boosted-conformal
  ☆39Updated 5 months ago
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆57Updated last year
• MartinWeigl / pycaleva
  A framework for calibration measurement of binary probabilistic models
  ☆28Updated last year
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆111Updated last month
• jacobgil / confidenceinterval
  The long missing library for python confidence intervals
  ☆138Updated last year
• OliverHennhoefer / unquad
  Conformal Anomaly Detection
  ☆48Updated this week
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• donlapark / coverforest
  A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
  ☆44Updated 2 months ago
• carbonfact / icanexplain
  📊 Explain why metrics change by unpacking them
  ☆38Updated 3 weeks ago
• SamsungSAILMontreal / ForestDiffusion
  Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models
  ☆158Updated 10 months ago
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆333Updated 2 weeks ago
• apple / ml-calibration
  relplot: Utilities for measuring calibration and plotting reliability diagrams
  ☆163Updated last year
• xRiskLab / pearsonify
  Lightweight Python package for generating classification intervals in binary classification tasks using Pearson residuals and conformal p…
  ☆19Updated 2 weeks ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• rxavier / poniard
  Streamline scikit-learn model comparison.
  ☆145Updated 2 years ago
• microsoft / ticl
  Tabular In-Context Learning
  ☆74Updated 3 months ago
• tblume1992 / MFLES
  ☆115Updated last year
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆210Updated 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
• givasile / effector
  Effector - a Python package for global and regional effect methods
  ☆110Updated last week
• AnotherSamWilson / fastshap
  Batch shap calculations.
  ☆31Updated 2 years ago
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆102Updated last month
• 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