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Top 20 xai open source projects

Awesome Machine Learning Interpretability

A curated list of awesome machine learning interpretability resources.

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machine-learning awesome awesome-list data-science data-mining interpretability transparency fairness accountability interpretable-deep-learning interpretable-ai interpretable-ml explainable-ml xai fatml interpretable-machine-learning iml machine-learning-interpretability

Fit interpretable models. Explain blackbox machine learning.

diabetes use case

Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/

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Jupyter Notebook data-science machine-learning data-mining healthcare xgboost transparency interpretability interpretable-ml explainable-ml xai interpretable-machine-learning iml machine-learning-interpretability

ml-fairness-framework

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

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Jupyter Notebook contrastive counterfactual explainable-ai explainable-ml xai interpretable-machine-learning fairness-ai aif360 fairness-ml alibi prototypical aix360 fairness-indicators

Fast approximate Shapley values in R

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r C++variable-importance explainable-ai explainable-ml xai shapley interpretable-machine-learning shapley-values

awesome-graph-explainability-papers

Papers about explainability of GNNs

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machine-learning deep-learning graph-mining explainable-ai xai graph-neural-networks explainability

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

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python shell machine-learning deep-learning attribution pytorch interpretability interpretable-ai interpretable-ml explainable-ai xai lrp explainability feature-attribution

Model verification, validation, and error analysis

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r CSS machine-learning classification regression-models model-validation error-analysis residuals explainable-artificial-intelligence xai

interpretable-ml

Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

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Jupyter Notebook data-science machine-learning data-mining gradient-boosting-machine transparency decision-trees fairness lime accountability interpretability interpretable-ai interpretable-ml xai fatml interpretable interpretable-machine-learning iml machine-learning-interpretability

The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".

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python Jupyter Notebook machine-learning transparency aaai interpretability rule-based interpretable-ai interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning iml machine-learning-interpretability explainability rule-sets interpretml transparent-ml

Remembering-for-the-Right-Reasons

Official Implementation of Remembering for the Right Reasons (ICLR 2021)

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python lifelong-learning xai continual-learning continual-learning-xai

dlime experiments

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

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Jupyter Notebook python machine-learning random-forest scikit-learn neural-networks clusters knn lime classifiers explainable-ai explainable-ml xai heirarchical-clustering breast-cancer-dataset dlime

Data generator for Arena - interactive XAI dashboard

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r ema interpretability xai iml explainability explanatory-model-analysis axplainable-artificial-intelligence interactive-xai

concept-based-xai

Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

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python shell library weak-supervision vae concept concept-extraction weakly-supervised-learning interpretability disentanglement model-explanation explainable-ai disentangled-representations xai explainability concept-explanation

Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.

ExpMRC: Explainability Evaluation for Machine Reading Comprehension

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python nlp dataset question-answering machine-reading-comprehension explainable-ai xai expmrc cmrc2022

Visualization tool for Graph Neural Networks

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typescript python CSS HTML javascript visualization deep-learning pytorch graph-visualization xai graph-neural-networks graph-representation-learning explainability dgl

adaptive-wavelets

Adaptive, interpretable wavelets across domains (NeurIPS 2021)

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Jupyter Notebook python machine-learning statistics deep-learning neural-network pytorch interpretability wavelets wavelet-analysis distillation xai explainability

Machine Learning in one line of code

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python machine-learning ml artificial-intelligence machinelearning hacktoberfest automl xai

MindsDB server allows you to consume and expose MindsDB workflows, through http.

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python shell Batchfile Dockerfile machine-learning rest-api ml explainable-ai xai mindsdb flask-restx mindsdb-server mindsdb-api

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