Alternatives and similar repositories for xai_misconceptions

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

• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆37Updated 4 years ago
• jphall663 / responsible_xai
  Guidelines for the responsible use of explainable AI and machine learning.
  ☆17Updated 3 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated 2 years ago
• jphall663 / kdd_2019
  Paper and talk from KDD 2019 XAI Workshop
  ☆20Updated 5 years ago
• jphall663 / diabetes_use_case
  Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/
  ☆27Updated last year
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 8 years ago
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 6 years ago
• equialgo / fairness-in-ml
  This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
  ☆119Updated 4 years ago
• algofairness / BlackBoxAuditing
  Research code for auditing and exploring black box machine-learning models.
  ☆132Updated 2 years ago
• jphall663 / GWU_rml
  ☆39Updated 9 months ago
• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆38Updated last year
• algofairness / fairness-comparison
  Comparing fairness-aware machine learning techniques.
  ☆161Updated 3 years ago
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆76Updated 5 years ago
• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆46Updated 4 years ago
• Laurae2 / CategoricalAnalysis
  Analysis of Categorical Encodings for dense Decision Trees
  ☆41Updated 8 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆153Updated 9 months ago
• christophM / explain-ml
  ☆35Updated 9 years ago
• SelfExplainML / Aletheia
  A Python package for unwrapping ReLU DNNs
  ☆68Updated 2 years ago
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆164Updated 5 years ago
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated last year
• EthicalML / explainability-and-bias
  ☆103Updated 2 years ago
• cosmicBboy / themis-ml
  A library that implements fairness-aware machine learning algorithms
  ☆127Updated 5 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…
  ☆174Updated last month
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 3 years ago
• Automunge / AutoMunge
  Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…
  ☆164Updated 7 months 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.
  ☆104Updated 2 weeks ago
• firmai / ml-fairness-framework
  FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
  ☆72Updated 4 years ago
• tcapelle / timeseries_fastai
  fastai V2 implementation of Timeseries classification papers.
  ☆242Updated 3 years ago
• andreysharapov / xaience
  All about explainable AI, algorithmic fairness and more
  ☆110Updated 2 years ago