Alternatives and similar repositories for xai_misconceptions:

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

• jphall663 / responsible_xai
  Guidelines for the responsible use of explainable AI and machine learning.
  ☆17Updated 2 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆42Updated last year
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 3 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• SelfExplainML / Aletheia
  A Python package for unwrapping ReLU DNNs
  ☆70Updated last year
• jphall663 / kdd_2019
  Paper and talk from KDD 2019 XAI Workshop
  ☆20Updated 4 years ago
• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆47Updated 4 years ago
• muellerzr / fastai2-Tabular-Baselines
  A few baselines with a standard tabular model
  ☆38Updated 4 years ago
• grazianomita / machine_learning_interpretability_papers
  This is a public collection of papers related to machine learning model interpretability.
  ☆26Updated 3 years ago
• jphall663 / GWU_rml
  ☆36Updated this week
• charliemarx / pmtools
  ☆9Updated 4 years ago
• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆37Updated 6 months ago
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 5 years ago
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆76Updated 4 years ago
• GDPlumb / MAPLE
  Supervised Local Modeling for Interpretability
  ☆28Updated 6 years ago
• MarcelRobeer / ContrastiveExplanation
  Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
  ☆45Updated 2 years ago
• equialgo / fairness-in-ml
  This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
  ☆117Updated 4 years ago
• firmai / ml-fairness-framework
  FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
  ☆71Updated 3 years ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• Laurae2 / CategoricalAnalysis
  Analysis of Categorical Encodings for dense Decision Trees
  ☆41Updated 8 years ago
• tmadl / sklearn-random-rotation-ensembles
  Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)
  ☆43Updated 9 years ago
• jphall663 / diabetes_use_case
  Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/
  ☆27Updated 10 months ago
• SinaMohseni / ML-Interpretability-Evaluation-Benchmark
  This is a benchmark to evaluate machine learning local explanaitons quality generated from any explainer for text and image data
  ☆30Updated 3 years ago
• interpretable-ml / iml
  Interpretable ML package designed to explain any machine learning model.
  ☆61Updated 6 years ago
• peterhurford / vowpal_platypus
  Fast, accurate, lightweight, multi-core ML in Python, leveraging Vowpal Wabbit
  ☆21Updated 6 years ago
• koaning / scikit-fairness
  this repo might get accepted
  ☆28Updated 4 years ago
• algofairness / runaway-feedback-loops-src
  Accompanying source code for "Runaway Feedback Loops in Predictive Policing"
  ☆16Updated 7 years ago
• h2oai / article-information-2019
  Article for Special Edition of Information: Machine Learning with Python
  ☆13Updated 3 months ago
• pbiecek / xai_stories
  XAI Stories. Case studies for eXplainable Artificial Intelligence
  ☆29Updated 4 years ago
• pcerda / ecml-pkdd-2018
  Scripts for ECML PKDD 2018 article: Similarity encoding for learning with dirty categorical variables
  ☆11Updated 6 years ago