ModelOriented/treeshap

Compute SHAP values for your tree-based models using the TreeSHAP algorithm

Language: R - Size: 17.7 MB - Last synced: about 4 hours ago - Pushed: 4 months ago - Stars: 75 - Forks: 21

ModelOriented/vivo

Variable importance via oscillations

Language: R - Size: 5.14 MB - Last synced: about 9 hours ago - Pushed: over 3 years ago - Stars: 14 - Forks: 3

flyingdoog/awesome-graph-explainability-papers

Papers about explainability of GNNs

Size: 959 KB - Last synced: about 12 hours ago - Pushed: 1 day ago - Stars: 572 - Forks: 63

MortadhaMannai/XAI_GridSearch_CatsVSDogs_EffNetV2

A project focusing on binary classification using Explainable Artificial Intelligence (XAI) methods, specifically SHAP (SHapley Additive exPlanations), and Grid Search for hyperparameter tuning. The project utilizes EfficientNetV2-B0 architecture on the Cat VS Dog dataset.

Language: Jupyter Notebook - Size: 209 KB - Last synced: about 14 hours ago - Pushed: 1 day ago - Stars: 1 - Forks: 0

ModelOriented/DALEX

moDel Agnostic Language for Exploration and eXplanation

Language: Python - Size: 798 MB - Last synced: about 3 hours ago - Pushed: 7 days ago - Stars: 1,330 - Forks: 166

mmschlk/shapiq

SHAP Interaction Quantification (short SHAP-IQ) is an XAI framework extending on the well-known shap explanations by introducing interactions i.e. synergy scores.

Language: Python - Size: 7.33 MB - Last synced: about 18 hours ago - Pushed: 2 days ago - Stars: 25 - Forks: 2

jphall663/awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

Size: 1.39 MB - Last synced: 1 day ago - Pushed: 2 days ago - Stars: 3,461 - Forks: 575

hbrt-rdzk/explainable-methods-in-exercise-analysis

Generative approach to exercise performance correction

Language: Python - Size: 13.7 MB - Last synced: 2 days ago - Pushed: 2 days ago - Stars: 0 - Forks: 0

statmlben/dnn-inference

[TNNLS 2022] Significance tests of feature relevance for a black-box learner

Language: Python - Size: 568 MB - Last synced: 2 days ago - Pushed: about 1 month ago - Stars: 15 - Forks: 4

jacobgil/pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Language: Python - Size: 108 MB - Last synced: 2 days ago - Pushed: 13 days ago - Stars: 9,506 - Forks: 1,483

dbdmg/Explainable-and-trustworthy-AI

Explainable and trustworthy AI Course

Language: Jupyter Notebook - Size: 6.88 MB - Last synced: 3 days ago - Pushed: 3 days ago - Stars: 7 - Forks: 1

microsoft/automated-explanations

Explain a black-box module in natural language.

Language: HTML - Size: 167 MB - Last synced: 3 days ago - Pushed: 3 days ago - Stars: 28 - Forks: 5

Trusted-AI/AIX360

Interpretability and explainability of data and machine learning models

Language: Python - Size: 357 MB - Last synced: about 15 hours ago - Pushed: 2 months ago - Stars: 1,540 - Forks: 305

dmlc/GNNLens2

Visualization tool for Graph Neural Networks

Language: TypeScript - Size: 20.9 MB - Last synced: 2 days ago - Pushed: over 1 year ago - Stars: 211 - Forks: 27

Brett-Kennedy/ikNN

An interpretable kNN based on aggregating the predictions of multiple 2d spaces.

Language: Python - Size: 6.11 MB - Last synced: 4 days ago - Pushed: 4 days ago - Stars: 0 - Forks: 0

agrumery/aGrUM

This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumery/aGrUM).

Language: Jupyter Notebook - Size: 295 MB - Last synced: 4 days ago - Pushed: 4 days ago - Stars: 21 - Forks: 0

NorskRegnesentral/explego

eXplego is a decision tree toolkit that provides developers with interactive guidance to help select an appropriate XAI-method for their particular use case.

Size: 3.27 MB - Last synced: 4 days ago - Pushed: 4 days ago - Stars: 4 - Forks: 0

trustyai-explainability/trustyai-explainability.github.io

TrustyAI main documentation

Language: CSS - Size: 6.85 MB - Last synced: 3 days ago - Pushed: 4 days ago - Stars: 0 - Forks: 1

HelmholtzAI-Consultants-Munich/XAI-Tutorials

Self-explanatory tutorials for different model-agnostic and model-specific XAI methods

Language: Jupyter Notebook - Size: 221 MB - Last synced: 1 day ago - Pushed: 4 days ago - Stars: 40 - Forks: 16

abonte/awesome-lists-machine-learning

A curated list of awesome lists on Machine Learning.

Size: 66.4 KB - Last synced: 4 days ago - Pushed: 3 months ago - Stars: 21 - Forks: 2

mateoespinosa/cem

Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper "Learning to Receive Help: Intervention-Aware Concept Embedding Models"

Language: Python - Size: 15.9 MB - Last synced: 5 days ago - Pushed: 5 days ago - Stars: 40 - Forks: 12

ahmedemam576/confident_explanations

Confident Naturalness Explanation (CNE): A Framework to Explain and Assess Patterns Forming Naturalness in Fennoscandia with Confidence

Language: Jupyter Notebook - Size: 3.79 MB - Last synced: 5 days ago - Pushed: 5 days ago - Stars: 1 - Forks: 0

ahmedemam576/SpacEX

we use activation maximization and GANs to discover patterns that contributes to the concept of naturalness in satellite imagery

Language: Python - Size: 182 MB - Last synced: 5 days ago - Pushed: 5 days ago - Stars: 1 - Forks: 1

trustyai-explainability/trustyai-kserve-explainer

KServe TrustyAI explainer

Language: Java - Size: 42 KB - Last synced: 2 days ago - Pushed: 2 days ago - Stars: 0 - Forks: 1

werywjw/SEP-CVDL

GiMeFive: Towards Interpretable Facial Emotion Classification 😄😲😭😡🤢😨 (PyTorch Implementation)

Language: Jupyter Notebook - Size: 1.49 GB - Last synced: 5 days ago - Pushed: 5 days ago - Stars: 8 - Forks: 1

Techtonique/teller

Model-agnostic Statistical/Machine Learning explainability (currently Python) for tabular data

Language: Jupyter Notebook - Size: 5.74 MB - Last synced: 5 days ago - Pushed: 5 days ago - Stars: 7 - Forks: 1

YeonwooSung/ai_book

AI book for everyone

Language: Jupyter Notebook - Size: 546 MB - Last synced: 5 days ago - Pushed: 5 days ago - Stars: 19 - Forks: 3

wangyongjie-ntu/Awesome-explainable-AI

A collection of research materials on explainable AI/ML

Size: 1.9 MB - Last synced: 3 days ago - Pushed: 11 days ago - Stars: 1,284 - Forks: 178

sergioburdisso/pyss3

A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)

Language: Python - Size: 102 MB - Last synced: about 4 hours ago - Pushed: 9 months ago - Stars: 332 - Forks: 44

chr5tphr/zennit

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

Language: Python - Size: 2.28 MB - Last synced: 1 day ago - Pushed: about 1 month ago - Stars: 177 - Forks: 32

interpretml/DiCE

Generate Diverse Counterfactual Explanations for any machine learning model.

Language: Python - Size: 15.2 MB - Last synced: 3 days ago - Pushed: 25 days ago - Stars: 1,277 - Forks: 179

MortadhaMannai/FriendLinker-Uncovering-Indirect-Friendship-Relations-in-Ego-Networks

The FriendLinker project focuses on identifying indirect composite relations within an ego network, specifically exploring the Friend relationship to uncover connections between different egos.

Language: Python - Size: 5.49 MB - Last synced: 6 days ago - Pushed: 4 months ago - Stars: 1 - Forks: 0

givasile/effector

Effector - a Python package for global and regional effect methods

Language: Jupyter Notebook - Size: 69.4 MB - Last synced: 6 days ago - Pushed: 7 days ago - Stars: 39 - Forks: 0

BirkhoffG/Explainable-ML-Papers

A list of research papers of explainable machine learning.

Size: 13.7 KB - Last synced: 3 days ago - Pushed: almost 3 years ago - Stars: 17 - Forks: 2

altamiracorp/awesome-xai

Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources

Size: 220 KB - Last synced: 2 days ago - Pushed: about 3 years ago - Stars: 120 - Forks: 12

AthenaCore/AwesomeResponsibleAI

A curated list of awesome academic research, books, code of ethics, data sets, institutes, newsletters, principles, podcasts, reports, tools, regulations and standards related to Responsible AI and Human-Centered AI.

Size: 457 KB - Last synced: 4 days ago - Pushed: 10 days ago - Stars: 34 - Forks: 6

zer0int/CLIP-XAI-GUI

CLIP GUI - XAI app ~ explainable (and guessable) AI with ViT & ResNet models

Language: Python - Size: 3.42 MB - Last synced: 8 days ago - Pushed: 8 days ago - Stars: 7 - Forks: 0

lopusz/awesome-interpretable-machine-learning

Language: Python - Size: 1.47 MB - Last synced: about 11 hours ago - Pushed: about 1 year ago - Stars: 900 - Forks: 140

evandieren/GNN_Explainability

GNN Explainability in a regression setting - semester project for Applied Mathematics MSc @ EPFL

Language: Python - Size: 30.5 MB - Last synced: 9 days ago - Pushed: 9 days ago - Stars: 1 - Forks: 0

dominiquegarmier/grok-pytorch

pytorch implementation of grok

Language: Python - Size: 38.1 KB - Last synced: 9 days ago - Pushed: 9 days ago - Stars: 9 - Forks: 1

cosimameyer/illustrations

This repository contains illustrations to explain concepts in data (science).

Size: 260 MB - Last synced: 9 days ago - Pushed: 10 days ago - Stars: 13 - Forks: 2

oegedijk/explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

Language: Python - Size: 80.3 MB - Last synced: 9 days ago - Pushed: about 1 month ago - Stars: 2,227 - Forks: 320

Xmaster6y/lczerolens

🔬 Interpretability for Leela Chess Zero networks.

Language: Python - Size: 632 KB - Last synced: 9 days ago - Pushed: 10 days ago - Stars: 4 - Forks: 0

josephenguehard/time_interpret

Unified Model Interpretability Library for Time Series

Language: Python - Size: 18.2 MB - Last synced: 7 days ago - Pushed: 4 months ago - Stars: 29 - Forks: 5

hoomanbing/Twitter-Data-Sentiment-Analysis-using-Ensemble-Learning-and-XAI

Language: Jupyter Notebook - Size: 909 KB - Last synced: 10 days ago - Pushed: 10 days ago - Stars: 0 - Forks: 1

deel-ai/xplique

👋 Xplique is a Neural Networks Explainability Toolbox

Language: Python - Size: 32.3 MB - Last synced: 10 days ago - Pushed: 12 days ago - Stars: 570 - Forks: 48

ModelOriented/triplot

Triplot: Instance- and data-level explanations for the groups of correlated features.

Language: R - Size: 54.1 MB - Last synced: 11 days ago - Pushed: about 3 years ago - Stars: 9 - Forks: 2

ModelOriented/survex

Explainable Machine Learning in Survival Analysis

Language: R - Size: 309 MB - Last synced: 9 days ago - Pushed: 26 days ago - Stars: 88 - Forks: 10

SeldonIO/alibi

Algorithms for explaining machine learning models

Language: Python - Size: 34.7 MB - Last synced: 10 days ago - Pushed: 11 days ago - Stars: 2,289 - Forks: 248

epfl-ml4ed/interpretable-clustering

Explainable clustering method used to extract interpretable student profiles. Featured at AIED 2024.

Language: Jupyter Notebook - Size: 21.6 MB - Last synced: 11 days ago - Pushed: 12 days ago - Stars: 1 - Forks: 0

ModelOriented/DALEX2

Explain! Package with core wrappers for DrWhy universe.

Language: R - Size: 2.07 MB - Last synced: 11 days ago - Pushed: over 5 years ago - Stars: 2 - Forks: 0

So-Cool/bLIMEy

Jupyter notebooks to reproduce various bLIMEy experiments

Language: Jupyter Notebook - Size: 18 MB - Last synced: 10 days ago - Pushed: 11 days ago - Stars: 5 - Forks: 2

edahelsinki/slisemap

SLISEMAP: Combining supervised dimensionality reduction with local explanations

Language: Python - Size: 62.9 MB - Last synced: 11 days ago - Pushed: 12 days ago - Stars: 15 - Forks: 3

pbiecek/xai_resources

Interesting resources related to XAI (Explainable Artificial Intelligence)

Language: R - Size: 13.2 MB - Last synced: 11 days ago - Pushed: almost 2 years ago - Stars: 783 - Forks: 133

MarcoParola/saliency-benchmark

Repository for benchmarking different post-hoc xai explanation methods on image datasets

Language: Python - Size: 16.6 KB - Last synced: 12 days ago - Pushed: 12 days ago - Stars: 2 - Forks: 1

cais-lab/revelionn

Retrospective Extraction of Visual and Logical Insights for Ontology-based interpretation of Neural Networks

Language: Python - Size: 219 MB - Last synced: 12 days ago - Pushed: 12 days ago - Stars: 6 - Forks: 0

AstraZeneca/awesome-shapley-value

Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)

Size: 622 KB - Last synced: 1 day ago - Pushed: almost 2 years ago - Stars: 133 - Forks: 10

capitalone/ablation

Evaluating XAI methods through ablation studies.

Language: Python - Size: 38.4 MB - Last synced: 3 days ago - Pushed: 17 days ago - Stars: 15 - Forks: 5

uncbiag/NAISR

NAISR: A 3D Neural Additive Model for Interpretable Shape Representation

Language: Python - Size: 98.3 MB - Last synced: 13 days ago - Pushed: 13 days ago - Stars: 11 - Forks: 2

ModelOriented/kernelshap

Efficient R implementation of SHAP

Language: R - Size: 2.36 MB - Last synced: 14 days ago - Pushed: 4 months ago - Stars: 30 - Forks: 7

MarcoParola/pytorch-sidu

SIDU: SImilarity Difference and Uniqueness method for explainable AI

Language: Python - Size: 77.1 KB - Last synced: 14 days ago - Pushed: 14 days ago - Stars: 30 - Forks: 0

datamllab/awesome-fairness-in-ai

A curated list of awesome Fairness in AI resources

Size: 33.2 KB - Last synced: 3 days ago - Pushed: 8 months ago - Stars: 303 - Forks: 60

iammelvink/msc-research-project-2023

Repository for my msc-research-project-implementation. Written in R, Python and PlantUML.

Language: Jupyter Notebook - Size: 220 MB - Last synced: 14 days ago - Pushed: 15 days ago - Stars: 0 - Forks: 0

charmlab/recourse

Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831

Language: Python - Size: 1.14 MB - Last synced: 12 days ago - Pushed: over 1 year ago - Stars: 32 - Forks: 5

charmlab/mace

Model Agnostic Counterfactual Explanations

Language: Python - Size: 3 MB - Last synced: 3 days ago - Pushed: over 1 year ago - Stars: 84 - Forks: 12

miguelangel43/xai-dimensionality-reduction-paper

Code that yields the results that will be presented in white paper

Language: Jupyter Notebook - Size: 23.5 MB - Last synced: about 4 hours ago - Pushed: 23 days ago - Stars: 1 - Forks: 0

Julia-XAI/ExplainableAI.jl

Explainable AI in Julia.

Language: Julia - Size: 39.1 MB - Last synced: 2 days ago - Pushed: 2 months ago - Stars: 99 - Forks: 2

xplainable/xplainable

Real-time explainable machine learning for business optimisation

Language: Python - Size: 15.5 MB - Last synced: 16 days ago - Pushed: 17 days ago - Stars: 52 - Forks: 5

hbaniecki/adversarial-explainable-ai

💡 Adversarial attacks on explanations and how to defend them

Size: 2.5 MB - Last synced: 11 days ago - Pushed: 2 months ago - Stars: 281 - Forks: 41

tamlhp/awesome-privex

Awesome PrivEx: Privacy-Preserving Explainable AI (PPXAI)

Size: 439 KB - Last synced: 17 days ago - Pushed: 19 days ago - Stars: 17 - Forks: 0

darkrubiks/AI-Assessment-of-Pain-in-Newborns

Inside this repository you will find the code needed to replicate most of our research findings in Pain Assessment in Newborns with AI, developed and researched by FEI and UNIFESP

Language: Python - Size: 612 KB - Last synced: 18 days ago - Pushed: 18 days ago - Stars: 1 - Forks: 0

Francesco-Sovrano/From-Philosophy-to-Interfaces-an-Explanatory-Method-and-a-Tool-Inspired-by-Achinstein-s-Theory-of-E

From Philosophy to Interfaces: an Explanatory Method and a Tool Inspired by Achinstein’s Theory of Explanation

Language: Python - Size: 18.8 MB - Last synced: 18 days ago - Pushed: almost 3 years ago - Stars: 1 - Forks: 1

Francesco-Sovrano/DoXpy

Replication package for the KNOSYS paper titled "An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability".

Language: Python - Size: 1.49 MB - Last synced: 18 days ago - Pushed: 4 months ago - Stars: 7 - Forks: 2

yolandalalala/GNNInterpreter

[ICLR 2023] Official implementation of the paper "GNNInterpreter"

Language: Jupyter Notebook - Size: 4.52 MB - Last synced: 6 days ago - Pushed: 18 days ago - Stars: 9 - Forks: 0

yolandalalala/GNNBoundary

[ICLR 2024] Official implementation of the paper "GNNBoundary"

Language: Jupyter Notebook - Size: 3.98 MB - Last synced: 6 days ago - Pushed: 18 days ago - Stars: 1 - Forks: 0

pnborchert/xai-animations

Fundamentals of Interpretable Data Science

Size: 1.65 MB - Last synced: 18 days ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

awesome-privex/awesome-privex.github.io

Official Website of https://github.com/tamlhp/awesome-privex

Language: HTML - Size: 643 KB - Last synced: 18 days ago - Pushed: 18 days ago - Stars: 1 - Forks: 0

MI2DataLab/modelDown_example

examples for modelDown, package that turns model into HTML pages

Size: 23.1 MB - Last synced: 18 days ago - Pushed: about 5 years ago - Stars: 8 - Forks: 4

ModelOriented/shapviz

R package for SHAP plots

Language: R - Size: 27.7 MB - Last synced: 4 days ago - Pushed: 3 months ago - Stars: 65 - Forks: 10

trustyai-explainability/trustyai-explainability

TrustyAI Explainability Toolkit

Language: Java - Size: 18.5 MB - Last synced: 23 days ago - Pushed: 23 days ago - Stars: 17 - Forks: 24

oegedijk/explainingtitanic

A demonstration of the explainerdashboard package that that displays model quality, permutation importances, SHAP values and interactions, and individual trees for sklearn RandomForestClassifiers, etc

Language: Python - Size: 71 MB - Last synced: 11 days ago - Pushed: almost 3 years ago - Stars: 16 - Forks: 3

syncdoth/MAFIA-Explanation-NLI

Official code for MAFIA (MAsk-based Feature Interaction Attribution): Explain BERT model's decision in NLI task.

Language: Jupyter Notebook - Size: 5.33 MB - Last synced: 19 days ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

pbiecek/breakDown

Model Agnostics breakDown plots

Language: R - Size: 20.2 MB - Last synced: 11 days ago - Pushed: 2 months ago - Stars: 101 - Forks: 18

rodrigobdz/lrp

Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curve.

Language: Python - Size: 87.9 MB - Last synced: 3 days ago - Pushed: almost 2 years ago - Stars: 7 - Forks: 1

interpretml/interpret

Fit interpretable models. Explain blackbox machine learning.

Language: C++ - Size: 13.6 MB - Last synced: 28 days ago - Pushed: 28 days ago - Stars: 5,979 - Forks: 706

ModelOriented/live

Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME method. Available on CRAN

Language: R - Size: 8.46 MB - Last synced: 21 days ago - Pushed: over 4 years ago - Stars: 34 - Forks: 5

XAITK/xaitk-saliency

As part of the Explainable AI Toolkit (XAITK), XAITK-Saliency is an open source, explainable AI framework for visual saliency algorithm interfaces and implementations, built for analytics and autonomy applications.

Language: Python - Size: 22.7 MB - Last synced: 19 days ago - Pushed: 3 months ago - Stars: 72 - Forks: 24

janish-parikh/DS_Study_Notes

Self written notes of various Data Science topics

Language: Jupyter Notebook - Size: 4.91 MB - Last synced: 22 days ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

SaynaEbrahimi/Remembering-for-the-Right-Reasons

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

Language: Python - Size: 3.91 MB - Last synced: 22 days ago - Pushed: almost 3 years ago - Stars: 30 - Forks: 4

inesortega/neuralGAM

An R package which provides a a neural network framework based on Generalized Additive Models

Language: R - Size: 3.94 MB - Last synced: 21 days ago - Pushed: 22 days ago - Stars: 1 - Forks: 0

Yu-Group/adaptive-wavelets

Adaptive, interpretable wavelets across domains (NeurIPS 2021)

Language: Jupyter Notebook - Size: 268 MB - Last synced: 12 days ago - Pushed: over 2 years ago - Stars: 68 - Forks: 10

12wang3/mllp

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

Language: Python - Size: 3.69 MB - Last synced: 24 days ago - Pushed: 2 months ago - Stars: 19 - Forks: 6

DataManagementLab/Astrapia

Astrapia - A Friendly XAI Explainer Evaluation Framework

Language: Python - Size: 5.36 MB - Last synced: 24 days ago - Pushed: 5 months ago - Stars: 0 - Forks: 2

CristianCosci/Adversarial_attacks_on_Explainability_methods Fork of Ellyuca/AGV-Project

AGV-Project for evolutionary adversarial attacks on XAI methods

Language: Python - Size: 158 MB - Last synced: 24 days ago - Pushed: 7 months ago - Stars: 0 - Forks: 0

pbiecek/ema

Explanatory Model Analysis. Explore, Explain and Examine Predictive Models

Language: Jupyter Notebook - Size: 908 MB - Last synced: 11 days ago - Pushed: 28 days ago - Stars: 173 - Forks: 38

csinva/imodelsX

Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.

Language: Python - Size: 34.8 MB - Last synced: 28 days ago - Pushed: 29 days ago - Stars: 74 - Forks: 15

sibyl-dev/pyreal

An easier approach to using and understanding ML models

Language: Jupyter Notebook - Size: 52.4 MB - Last synced: 28 days ago - Pushed: 30 days ago - Stars: 18 - Forks: 1

lwachowiak/HRI-Video-Survey-on-Preferred-Robot-Responses

Code and data for the paper "When Do People Want an Explanation?", presented at HRI'24

Language: Jupyter Notebook - Size: 873 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

explainX/explainx

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ [email protected]

Language: Jupyter Notebook - Size: 61.2 MB - Last synced: 27 days ago - Pushed: 2 months ago - Stars: 385 - Forks: 54

EthicalML/xai

XAI - An eXplainability toolbox for machine learning

Language: Python - Size: 17.8 MB - Last synced: 27 days ago - Pushed: over 2 years ago - Stars: 1,053 - Forks: 160