Alternatives and similar repositories for xai_stories:

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

• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆25Updated 2 years ago
• AlxndrMlk / blogs-code
  Code for blog posts.
  ☆19Updated last year
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 2 years ago
• jphall663 / xai_misconceptions
  Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!
  ☆28Updated 5 years ago
• pbiecek / InterpretableMachineLearning2020
  Lecture notes for 'Interpretable Machine Learning' at WUT and UoW. Summer semester 2019/2020
  ☆28Updated 4 years ago
• ModelOriented / Arena
  Interactive XAI dashboard
  ☆22Updated last year
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 3 years ago
• Techtonique / teller
  Model-agnostic Statistical/Machine Learning explainability (currently Python) for tabular data
  ☆9Updated last month
• mlhcmit / recitations
  Here we will post recitation materials.
  ☆9Updated 5 years ago
• jphall663 / responsible_xai
  Guidelines for the responsible use of explainable AI and machine learning.
  ☆17Updated 2 years ago
• ModelOriented / fairmodels
  Flexible tool for bias detection, visualization, and mitigation
  ☆86Updated 3 months ago
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 5 years ago
• ModelOriented / DALEX-docs
  Documentation for the DALEX project
  ☆36Updated last year
• nredell / shapFlex
  An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
  ☆75Updated 4 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆42Updated last year
• jphall663 / kdd_2019
  Paper and talk from KDD 2019 XAI Workshop
  ☆20Updated 4 years ago
• FMenchetti / CausalArima
  An R package to estimate the effect of interventions on univariate time series using ARIMA models
  ☆20Updated 11 months ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• ModelOriented / pyCeterisParibus
  Python library for Ceteris Paribus Plots (What-if plots)
  ☆24Updated 4 years ago
• petersontylerd / mlmachine
  mlmachine accelerates machine learning experimentation
  ☆30Updated 3 years ago
• LeihuaYe / Causal-Inference-Using-Quasi-Experimental-Methods
  Causal Inference Using Quasi-Experimental Methods
  ☆20Updated 4 years ago
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 3 years ago
• slds-lmu / paper_2019_iml_measures
  Quantifying Interpretability of Arbitrary Machine Learning Models Through Functional Decomposition
  ☆16Updated 5 years ago
• SelfExplainML / Aletheia
  A Python package for unwrapping ReLU DNNs
  ☆70Updated last year
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated 2 years ago
• realrate / Causing
  Causing: CAUsal INterpretation using Graphs
  ☆58Updated 3 weeks ago
• ModelOriented / iBreakDown
  Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)
  ☆84Updated last year
• amazon-science / causal-forecasting
  ☆13Updated last year
• Informationsfabrik / feature-engineering
  ☆14Updated 5 years ago
• dandls / moc
  Multi-Objective Counterfactuals
  ☆41Updated 2 years ago