Alternatives and similar repositories for xai_stories

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

• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 4 years ago
• realrate / Causing
  Causing: CAUsal INterpretation using Graphs
  ☆58Updated 3 weeks ago
• AlxndrMlk / blogs-code
  Code for blog posts.
  ☆20Updated last year
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated 2 years ago
• ModelOriented / fairmodels
  Flexible tool for bias detection, visualization, and mitigation
  ☆86Updated 7 months ago
• RickardKarl / causal-falsify
  causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.
  ☆34Updated 2 weeks ago
• jphall663 / xai_misconceptions
  Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!
  ☆29Updated 6 years ago
• dandls / moc
  Multi-Objective Counterfactuals
  ☆42Updated 3 years ago
• nredell / shapFlex
  An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
  ☆74Updated 5 years ago
• DataSystemsGroupUT / SmartML
  SmartML: Supervised Machine Learning Automation in R
  ☆25Updated 4 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 4 years ago
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆25Updated 3 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 3 years ago
• jphall663 / kdd_2019
  Paper and talk from KDD 2019 XAI Workshop
  ☆20Updated 5 years ago
• ModelOriented / pyCeterisParibus
  Python library for Ceteris Paribus Plots (What-if plots)
  ☆25Updated 4 years ago
• tevgeniou / FoundationsML
  ☆12Updated 5 years ago
• FMenchetti / CausalArima
  An R package to estimate the effect of interventions on univariate time series using ARIMA models
  ☆24Updated last year
• slds-lmu / iml_methods_limitations
  Seminar on Limitations of Interpretable Machine Learning Methods
  ☆57Updated 4 years ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• ModelOriented / DALEX-docs
  Documentation for the DALEX project
  ☆36Updated last year
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 4 years ago
• pyartemis / artemis
  A Python package with explanation methods for extraction of feature interactions from predictive models
  ☆31Updated last year
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 2 years ago
• ModelOriented / iBreakDown
  Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)
  ☆83Updated last year
• Informationsfabrik / feature-engineering
  ☆14Updated 5 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆27Updated 5 years ago
• SelfExplainML / Aletheia
  A Python package for unwrapping ReLU DNNs
  ☆70Updated last year
• cpa-analytics / embedding-encoder
  Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
  ☆41Updated 2 years ago
• AidanCooper / shap-clustering
  How to use SHAP values for better cluster analysis
  ☆59Updated 3 years ago
• bradyneal / causal-book-code
  ☆78Updated 5 years ago