Alternatives and similar repositories for igann

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

• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆75Updated last year
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆72Updated last week
• tunguz / TabularBenchmarks
  ☆203Updated 3 months ago
• 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 3 years ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆159Updated 3 years ago
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆191Updated 3 months ago
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆58Updated 2 years ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆213Updated 3 months ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆92Updated 2 years ago
• feedzai / fairgbm
  Train Gradient Boosting models that are both high-performance *and* Fair!
  ☆106Updated last month
• SamsungSAILMontreal / ForestDiffusion
  Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models
  ☆174Updated last year
• noklam / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆61Updated 2 years ago
• apple / ml-calibration
  relplot: Utilities for measuring calibration and plotting reliability diagrams
  ☆179Updated 2 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
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆368Updated last week
• jacobgil / confidenceinterval
  The long missing library for python confidence intervals
  ☆145Updated last year
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆88Updated 2 years ago
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆50Updated 3 years ago
• xRiskLab / pearsonify
  Lightweight Python package for generating classification intervals in binary classification tasks using Pearson residuals and conformal p…
  ☆24Updated 7 months ago
• MartinWeigl / pycaleva
  A framework for calibration measurement of binary probabilistic models
  ☆29Updated last year
• simsal0r / mixture-of-decision-trees
  Mixture of Decision Trees for Interpretable Machine Learning
  ☆11Updated 4 years ago
• zelros / cinnamon
  CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
  ☆77Updated 3 years ago
• vincentblot28 / conformalized_gp
  ☆48Updated last year
• TomerRonen34 / treeboost_autograd
  Easy Custom Losses for Tree Boosters using Pytorch
  ☆35Updated 4 years ago
• tblume1992 / MFLES
  ☆115Updated last year
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆142Updated 9 months ago
• jefferythewind / warpgbm
  WarpGBM: High-Speed Gradient Boosting
  ☆93Updated 2 months ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆252Updated last week
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆128Updated 2 years ago
• ran-xie / boosted-conformal
  ☆41Updated last year