Alternatives and similar repositories for acv00:

Users that are interested in acv00 are comparing it to the libraries listed below

• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆124Updated last year
• 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.
  ☆203Updated 10 months ago
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆92Updated this week
• scikit-learn-contrib / qolmat
  A scikit-learn-compatible module for comparing imputation methods.
  ☆137Updated this week
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆72Updated last year
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆77Updated 4 years ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆64Updated 3 weeks ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆227Updated last week
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆224Updated last year
• 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
  ☆76Updated 2 years ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 3 years ago
• carbonfact / icanexplain
  📊 Explain why metrics change by unpacking them
  ☆37Updated 2 months ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆149Updated last year
• XAI-ANITI / ethik
  A toolbox for fair and explainable machine learning
  ☆55Updated 9 months ago
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆131Updated last month
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆149Updated 6 months ago
• feedzai / fairgbm
  Train Gradient Boosting models that are both high-performance *and* Fair!
  ☆103Updated 9 months ago
• microsoft / CBM
  Cyclic Boosting Machines - an explainable supervised machine learning algorithm
  ☆59Updated 6 months ago
• wwwjk366 / gower
  Python package for Gower distance
  ☆77Updated 10 months ago
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆162Updated 2 months ago
• openml-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆96Updated 6 months ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆171Updated last year
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆89Updated last year
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆54Updated 3 months ago
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆105Updated 2 weeks ago
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆67Updated 2 years ago
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆136Updated this week
• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆89Updated 7 months ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆143Updated last year