Alternatives and similar repositories for interpretability

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

• h2oai / mli-resources
  H2O.ai Machine Learning Interpretability Resources
  ☆489Updated 4 years ago
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆165Updated 5 years ago
• interpretml / interpret-community
  Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…
  ☆431Updated 4 months ago
• EthicalML / explainability-and-bias
  ☆102Updated last year
• cosmicBboy / themis-ml
  A library that implements fairness-aware machine learning algorithms
  ☆124Updated 4 years ago
• andreysharapov / xaience
  All about explainable AI, algorithmic fairness and more
  ☆109Updated last year
• dataiku-research / mealy
  Model Error Analysis for scikit-learn models.
  ☆29Updated 3 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated last year
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆126Updated last year
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 5 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆152Updated 2 months ago
• Affirm / shparkley
  Spark implementation of computing Shapley Values using monte-carlo approximation
  ☆74Updated 2 years ago
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆66Updated last year
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• Bergvca / pyspark_dist_explore
  Data Exploration in PySpark made easy - Pyspark_dist_explore provides methods to get fast insights in your Spark DataFrames.
  ☆103Updated 5 years ago
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆80Updated 5 years ago
• EricSchles / drifter_ml
  A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
  ☆102Updated 3 years ago
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 4 years ago
• interpretable-ml / iml
  Interpretable ML package designed to explain any machine learning model.
  ☆61Updated 6 years ago
• ragulpr / wtte-rnn-examples
  Examples of implementations of WTTE-RNN
  ☆32Updated 7 years ago
• joelcthomas / modeldrift
  Capturing model drift and handling its response - Example webinar
  ☆108Updated 5 years ago
• tgoldenberg / kedro-mlflow-example
  ☆44Updated 2 years ago
• linkedin / LiFT
  The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning wo…
  ☆171Updated 2 years ago
• danielsc / azureml-and-dask
  Shows how to spin up a DASK cluster on AML Compute
  ☆29Updated 3 years ago
• Automunge / AutoMunge
  Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…
  ☆165Updated 4 months ago
• ustunb / risk-slim
  simple customizable risk scores in python
  ☆137Updated last year
• vikua / ts-workshop
  ☆13Updated 2 years ago
• wwwjk366 / gower
  Python package for Gower distance
  ☆78Updated last year
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆139Updated 5 years ago
• MLBazaar / MLBlocks
  A library for composing end-to-end tunable machine learning pipelines.
  ☆118Updated 4 months ago