Alternatives and similar repositories for uncertainty_modeller

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

• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆272Updated last week
• carla-recourse / CARLA
  CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
  ☆292Updated last year
• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆767Updated 3 weeks ago
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆781Updated 3 months ago
• interpretml / DiCE
  Generate Diverse Counterfactual Explanations for any machine learning model.
  ☆1,422Updated 2 weeks ago
• andreysharapov / xaience
  All about explainable AI, algorithmic fairness and more
  ☆110Updated last year
• erdogant / bnlearn
  Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…
  ☆526Updated last week
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆249Updated last year
• microsoft / project-azua
  Data Efficient Decision Making
  ☆247Updated 3 years ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆278Updated 2 years ago
• socialfoundations / folktables
  Datasets derived from US census data
  ☆264Updated last year
• AI4LIFE-GROUP / OpenXAI
  OpenXAI : Towards a Transparent Evaluation of Model Explanations
  ☆247Updated 10 months ago
• hfawaz / cd-diagram
  Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
  ☆284Updated 2 years ago
• microsoft / causica
  ☆495Updated 7 months ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆178Updated last year
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆377Updated 11 months ago
• aangelopoulos / conformal-prediction
  Lightweight, useful implementation of conformal prediction on real data.
  ☆912Updated 3 weeks ago
• yromano / cqr
  Conformalized Quantile Regression
  ☆279Updated 3 years ago
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆614Updated last week
• scikit-learn-contrib / MAPIE
  A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
  ☆1,435Updated last week
• GiulioRossetti / Python-Project-Template
  Minimal template for a Python library project
  ☆11Updated 2 years ago
• LeoGrin / tabular-benchmark
  ☆483Updated 10 months ago
• py-why / causaltune
  AutoML for causal inference.
  ☆224Updated 6 months ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆384Updated 11 months ago
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,482Updated 2 weeks ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆265Updated last month
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆641Updated 6 months ago
• givasile / effector
  Effector - a Python package for global and regional effect methods
  ☆112Updated this week
• deel-ai / xplique
  👋 Xplique is a Neural Networks Explainability Toolbox
  ☆692Updated 9 months ago