Interpretability and explainability of data and machine learning models

moDel Agnostic Language for Exploration and eXplanation

XAI - An eXplainability toolbox for machine learning

Code, exercises and tutorials of my personal blog ! 📝

Generate Diverse Counterfactual Explanations for any machine learning model.

Leave One Feature Out Importance

🕵️‍♂️ Interpreting Convolutional Neural Network (CNN) Results.

📍 Interactive Studio for Explanatory Model Analysis

Explain & debug any blackbox machine learning model with a single line of code.

💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)

A repository for explaining feature attributions and feature interactions in deep neural networks.

Using / reproducing ACD (ICLR 2019) from the paper "Hierarchical interpretations for neural network predictions"

Pytorch implementation of "Explainable and Explicit Visual Reasoning over Scene Graphs "

Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.

Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

Examples of Data Science projects and Artificial Intelligence use cases

This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study

Explaining the output of machine learning models with more accurately estimated Shapley values

Detect model's attention

A fast Tsetlin Machine implementation employing bit-wise operators, with MNIST demo.

FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)

Workshop: Explanation and exploration of machine learning models with R and DALEX at eRum 2020

code release for Representer point Selection for Explaining Deep Neural Network in NeurIPS 2018

Essential NLP & ML, short & fast pure Python code