explainable-artificial-intelligence | Topic

Topic: "explainable-artificial-intelligence"

ModelOriented/DALEX

moDel Agnostic Language for Exploration and eXplanation

Language: Python - Size: 798 MB - Last synced at: 6 months ago - Pushed at: 7 months ago - Stars: 1,370 - Forks: 166

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: 61.3 MB - Last synced at: 9 days ago - Pushed at: 8 months ago - Stars: 430 - Forks: 56

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 at: 7 days ago - Pushed at: 3 months ago - Stars: 342 - Forks: 44

adityac94/Grad_CAM_plus_plus

A generalized gradient-based CNN visualization technique

Language: Python - Size: 6.73 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 276 - Forks: 56

AstraZeneca/awesome-shapley-value

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

Size: 622 KB - Last synced at: 12 days ago - Pushed at: over 2 years ago - Stars: 148 - Forks: 12

fzi-forschungszentrum-informatik/TSInterpret

An Open-Source Library for the interpretability of time series classifiers

Language: Python - Size: 200 MB - Last synced at: 7 days ago - Pushed at: 5 months ago - Stars: 132 - Forks: 13

dylan-slack/TalkToModel

TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!

Language: Python - Size: 10.1 MB - Last synced at: 9 days ago - Pushed at: over 1 year ago - Stars: 120 - Forks: 25

ajayarunachalam/msda

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

Language: Jupyter Notebook - Size: 11.5 MB - Last synced at: 12 months ago - Pushed at: over 3 years ago - Stars: 115 - Forks: 30

andreysharapov/xaience

All about explainable AI, algorithmic fairness and more

Language: HTML - Size: 7.81 GB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 106 - Forks: 12

fitushar/3D-GuidedGradCAM-for-Medical-Imaging

This Repo containes the implemnetation of generating Guided-GradCAM for 3D medical Imaging using Nifti file in tensorflow 2.0. Different input files can be used in that case need to edit the input to the Guided-gradCAM model.

Language: Python - Size: 614 KB - Last synced at: 15 days ago - Pushed at: almost 5 years ago - Stars: 104 - Forks: 8

ModelOriented/treeshap

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

Language: R - Size: 19.7 MB - Last synced at: 26 days ago - Pushed at: 9 months ago - Stars: 83 - Forks: 24

emanuel-metzenthin/Lime-For-Time

Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification

Language: Python - Size: 3.02 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 81 - Forks: 20

zju-vipa/awesome-neural-trees

Introduction, selected papers and possible corresponding codes in our review paper "A Survey of Neural Trees"

Size: 1.66 MB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 79 - Forks: 9

greydanus/excitationbp

Visualizing how deep networks make decisions

Language: Jupyter Notebook - Size: 3.03 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 63 - Forks: 24

ModelOriented/auditor

Model verification, validation, and error analysis

Language: R - Size: 50.6 MB - Last synced at: 20 days ago - Pushed at: over 1 year ago - Stars: 58 - Forks: 13

dianna-ai/dianna

Deep Insight And Neural Network Analysis

Language: Jupyter Notebook - Size: 279 MB - Last synced at: 7 days ago - Pushed at: 3 months ago - Stars: 52 - Forks: 13

rehmanzafar/xai-iml-sota

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

Language: R - Size: 1.12 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 51 - Forks: 13

koulanurag/mmn

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

Language: Python - Size: 115 MB - Last synced at: 8 days ago - Pushed at: over 2 years ago - Stars: 49 - Forks: 13

hungntt/xai_thyroid

Classification and Object Detection XAI methods (CAM-based, backpropagation-based, perturbation-based, statistic-based) for thyroid cancer ultrasound images

Language: Python - Size: 2.01 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 45 - Forks: 6

M-Nauta/PIPNet

PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)

Language: Python - Size: 3.85 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 43 - Forks: 8

yaricom/goNEAT_NS

This project provides GOLang implementation of Neuro-Evolution of Augmenting Topologies (NEAT) with Novelty Search optimization aimed to solve deceptive tasks with strong local optima

Language: Go - Size: 4.54 MB - Last synced at: 16 days ago - Pushed at: 4 months ago - Stars: 40 - Forks: 7

akarasman/yolo-heatmaps

A utility for generating heatmaps of YOLOv8 using Layerwise Relevance Propagation (LRP/CRP).

Language: Jupyter Notebook - Size: 3.68 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 35 - Forks: 11

shrebox/B-cosification

[NeurIPS 2024] Code for the paper: B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable.

Language: Jupyter Notebook - Size: 7.75 MB - Last synced at: 9 days ago - Pushed at: 28 days ago - Stars: 30 - Forks: 0

KaryFramling/py-ciu

Explainable Artificial Intelligence through Contextual Importance and Utility

Language: Jupyter Notebook - Size: 27.4 MB - Last synced at: 9 days ago - Pushed at: 8 months ago - Stars: 28 - Forks: 8

dbountouridis/siren

SIREN: A Simulation Framework for Understanding the Effects of Recommender Systems in Online News Environments

Language: Python - Size: 3.16 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 27 - Forks: 8

cair/fast-tsetlin-machine-in-cuda-with-imdb-demo

A CUDA implementation of the Tsetlin Machine based on bitwise operators

Language: Cuda - Size: 38.1 KB - Last synced at: 8 days ago - Pushed at: over 5 years ago - Stars: 26 - Forks: 2

xmq1221/awesome-prototype-based-papers

This is a list of awesome prototype-based papers for explainable artificial intelligence.

Size: 25.4 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 25 - Forks: 0

zju-vipa/ProtoPFormer

ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition

Language: Python - Size: 173 KB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 25 - Forks: 5

koo-ec/Awesome-LLM-Explainability

A curated list of explainability-related papers, articles, and resources focused on Large Language Models (LLMs). This repository aims to provide researchers, practitioners, and enthusiasts with insights into the explainability implications, challenges, and advancements surrounding these powerful models.

Size: 708 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 24 - Forks: 1

imatge-upc/SurvLIMEpy

Local interpretability for survival models

Language: Python - Size: 3.7 MB - Last synced at: 9 days ago - Pushed at: 11 months ago - Stars: 24 - Forks: 4

ModelOriented/Arena

Interactive XAI dashboard

Language: Vue - Size: 61.5 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 22 - Forks: 1

ahmed-mohamed-sn/ATgfe

Automated Transparent Genetic Feature Engineering

Size: 2.19 MB - Last synced at: 8 days ago - Pushed at: almost 2 years ago - Stars: 22 - Forks: 5

declare-lab/identifiable-transformers

Language: Python - Size: 11.1 MB - Last synced at: 8 days ago - Pushed at: about 2 years ago - Stars: 22 - Forks: 2

xai4se/xai4se.github.io

Explainable AI for Software Engineering: A Hands-on Guide on How to Make Software Analytics More Practical, Explainable, and Actionable (https://xai4se.github.io)

Language: Shell - Size: 48.1 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 18 - Forks: 6

yaricom/goESHyperNEAT

The implementation of evolvable-substrate HyperNEAT algorithm in GO language. ES-HyperNEAT is an extension of the original HyperNEAT method for evolving large-scale artificial neural networks.

Language: Go - Size: 1.35 MB - Last synced at: 16 days ago - Pushed at: 4 months ago - Stars: 16 - Forks: 3

alonjacovi/XAI-Scholar

Cross-field empirical trends analysis of XAI literature

Language: Jupyter Notebook - Size: 5.31 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 16 - Forks: 3

ModelOriented/vivo

Variable importance via oscillations

Language: R - Size: 5.14 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 14 - Forks: 3

sbobek/lux

Local Universal Rule-based Explanations

Language: Python - Size: 241 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 13 - Forks: 5

stavrostheocharis/easy_explain

An XAI library that helps to explain AI models in a really quick & easy way

Language: Python - Size: 49 MB - Last synced at: 21 days ago - Pushed at: about 1 year ago - Stars: 13 - Forks: 2

pnxenopoulos/cav-keras

Concept activation vectors for Keras

Language: Python - Size: 23 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 6

maj34/2022-BigContest

[ 공모전 ] 다각적 모델을 활용한 대출 신청 여부 예측과 고객 군집 별 서비스 메시지 제안 : 이상치 탐지, 머신러닝, 딥러닝 모델

Language: Jupyter Notebook - Size: 8.64 MB - Last synced at: 11 months ago - Pushed at: about 2 years ago - Stars: 12 - Forks: 0

prclibo/ice

Interpretable Control Exploration and Counterfactual Explanation (ICE) on StyleGAN

Language: Jupyter Notebook - Size: 8.43 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 12 - Forks: 6

ZKBig/XRouting

XRouting: An explainable vehicle rerouting system based on reinforcement learning with transformer structure

Language: Python - Size: 18.4 MB - Last synced at: 9 months ago - Pushed at: about 2 years ago - Stars: 11 - Forks: 0

mini-pw/2021L-WB-XAI-1

Case Study course for DS studies in Summer 2020/2021

Language: Jupyter Notebook - Size: 163 MB - Last synced at: 11 months ago - Pushed at: almost 4 years ago - Stars: 11 - Forks: 16

roberto1648/adversarial-perturbations-on-images-and-videos

Code and data from the paper "Targeted Nonlinear Adversarial Perturbations in Images and Videos".

Language: Jupyter Notebook - Size: 83.2 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 11 - Forks: 3

KaryFramling/ciu

R implementation of Contextual Importance and Utility for Explainable AI

Language: R - Size: 6.73 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 10 - Forks: 5

ongov/Transparency-Guidelines

Minimize the risks and maximize the benefits of using data-driven technologies within government processes, programs and services through transparency. | Réduire les risques et à maximiser les avantages liés à l’utilisation de technologies axées sur les données, dans le cadre de processus, programmes et services gouvernementaux, grâce à la transparence.

Size: 469 KB - Last synced at: 12 months ago - Pushed at: almost 4 years ago - Stars: 10 - Forks: 1

yuvalailer/nnplot

:tv: A Python library for pruning and visualizing Keras Neural Networks' structure and weights

Language: Python - Size: 10 MB - Last synced at: 17 days ago - Pushed at: over 5 years ago - Stars: 10 - Forks: 1

maj34/2021-KOTRA

[ 공모전 ] 코트라 데이터활용 빅데이터 분석 경진대회

Language: Jupyter Notebook - Size: 19.5 MB - Last synced at: 11 months ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 0

TathagataChakraborti/mmp

Explanations in Multi-Model Planning

Language: Python - Size: 104 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 9 - Forks: 2

jwuphysics/sparse-feature-networks

Learning astrophysics with top-k sparse feature networks (SF-Nets)

Language: Jupyter Notebook - Size: 1.23 MB - Last synced at: 7 days ago - Pushed at: 2 months ago - Stars: 8 - Forks: 0

piotromashov/baycon

Research project on generation of counterfactuals for eXplainable AI, based on Bayesian Generation

Language: Python - Size: 4.37 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 8 - Forks: 0

zhaoren91/awesome-heart-sound-analysis

Awesome Heart Sound Analysis - A Survey

Size: 493 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 8 - Forks: 0

EBAnO-Ecosystem/Text-EBAnO-Express

T-EBAnO: Explaining deep learning black-box models for Natural Language Processing.

Language: Jupyter Notebook - Size: 10.2 MB - Last synced at: 4 months ago - Pushed at: about 2 years ago - Stars: 8 - Forks: 0

namsor/Java-Naive-Bayes-Classifier-JNBC

A scalable, explainable Java Naive Bayes Classifier that works either in memory or on persistent fast key-value store (MapDB, RocksDB or LevelDB)

Language: Java - Size: 1.25 MB - Last synced at: 17 days ago - Pushed at: almost 2 years ago - Stars: 6 - Forks: 4

AIC-XAI-TEAM/PLOBELM_1_TEAM_2

AIC XAI 문제 1번 2팀 레파지토리

Size: 3.91 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 0

djib2011/hide-and-seek

Repo for the paper: "Hide-and-Seek: A Template for Explainable AI", by Thanos Tagaris and Andreas Stafylopatis

Language: Jupyter Notebook - Size: 416 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 5 - Forks: 1

jpmorganchase/cf-shap

Counterfactual SHAP: a framework for counterfactual feature importance

Language: HTML - Size: 713 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 2

FAU-DLM/FCDIIb_TSC

Repository for Kubach et al. bioRxiv/2019/804682 (2019)

Language: Python - Size: 3.19 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

CeciPani/MARLENA

A python library to agnostically explain multi-label black-box classifiers (tabular data)

Language: Jupyter Notebook - Size: 4.61 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

jnikhilreddy/Explainable-AI-papers-Year-wise

List of papers in the area of Explainable Artificial Intelligence Year wise

Size: 18.6 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 1

rva5120/influential_vocab_detection

This tool can be used to find the most influential words on a document. We define most influential as the words that influence a trained classifier the most to give it a particular classification.

Language: Python - Size: 39.1 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 5 - Forks: 2

mateoespinosa/tabcbm

Official Implementation of TMLR's paper: "TabCBM: Concept-based Interpretable Neural Networks for Tabular Data"

Language: Python - Size: 11.8 MB - Last synced at: 9 months ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 2

Bessouat40/nginx-reactjs-fastapi-pneumonia-detection

Pneumonia Detection Software with Database

Language: JavaScript - Size: 127 MB - Last synced at: 14 days ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 1

EloiZ/awesome-contrastive-explanation

A curated list of awesome contrastive explanation in ML resources

Size: 18.6 KB - Last synced at: 8 days ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 0

henrikbostrom/xrf

xrf is a Python package that implements random forests with example attribution

Language: Python - Size: 360 KB - Last synced at: 18 days ago - Pushed at: 5 months ago - Stars: 3 - Forks: 0

Telefonica/XAIoGraphs

XAIoGraphs (eXplainability Articicial Intelligence over Graphs) is an Explicability and Fairness Python library for classification problems with tabulated and discretized data.

Language: Python - Size: 35.6 MB - Last synced at: 9 days ago - Pushed at: 6 months ago - Stars: 3 - Forks: 1

lsch0lz/counterfactuals

Counterfactuals: Take the uncertainty out of your machine learning models

Language: Jupyter Notebook - Size: 6.6 MB - Last synced at: 10 days ago - Pushed at: 8 months ago - Stars: 3 - Forks: 0

MortadhaMannai/XAI_ConstrainedAttentionVerifier

Code for the NLDB 2023 paper. Work partially funded by grant ANR-19-CE38-0011-03 from the French national research agency (ANR).

Language: Jupyter Notebook - Size: 5.73 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

explcre/Adaptable-and-intrepretable-multi-task-learning-based-gene-level-methylation-estimation

adaptable and intrepretable,multi-task learning based gene-level methylation estimations

Language: Python - Size: 125 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

PiSchool/noa-xai-for-wildfire-forecasting

Code for the School of AI challenge "Explainable AI for Wildfire Forecasting", sponsored by Pi School to help NOA, the National Observatory of Athens, work with Explainable Deep Learning for Wildfire Forecasting.

Language: Jupyter Notebook - Size: 134 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1

jpmorganchase/cf-shap-facct22

Counterfactual Shapley Additive Explanation: Experiments

Language: Jupyter Notebook - Size: 1.33 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 3

narimannemo/pine

An Explainable AI framework for interpreting Deep Neural Networks predictions.

Language: Jupyter Notebook - Size: 521 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

mcavs/Decomposition-of-Expected-Goal-Models

This repository consists the supplemental materials of the paper "Decomposition of Expected Goal Models: Aggregated SHAP Values for Analyzing Scoring Potential of Player/Team".

Language: R - Size: 451 KB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

christianwarmuth/explainable-predictive-process-monitoring-with-text

On the Potential of Textual Data for Explainable Predictive Process Monitoring (ICPM 2022)

Language: Jupyter Notebook - Size: 648 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

JayRGopal/Explainable-Deep-Learning-Regularizer

A more interpretable way to regularize convolutional neural networks (CNNs) during training

Language: Jupyter Notebook - Size: 255 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0

satyamahesh84/SIDU_XAI_CODE

Similarity Differences and Uniqueness Explainable AI method

Language: Python - Size: 4.56 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 1

di-unipi-socc/SecFog

A tool for security assessment of multi-service IoT application deployment in the Fog.

Language: Prolog - Size: 167 KB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 1

viadee/javaAnchorServer 📦

DEPRECATED A server to provide Anchor-Explanations for machine learning models

Language: Java - Size: 1.07 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 2

AIC-XAI-TEAM/PLOBELM_1_TEAM_1

Size: 0 Bytes - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0

dianna-ai/dianna-exploration

This repository contains the expliratory and research work from the DIANNA project

Language: Jupyter Notebook - Size: 84.7 MB - Last synced at: 9 days ago - Pushed at: 2 months ago - Stars: 2 - Forks: 1

adrianstando/edgaro

Explainable imbalanceD learninG compARatOr - Engineering Thesis Project

Language: Python - Size: 7.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 1

conorosully/interpreting-coastline-unet

Interpreting a U-Net used for coastal water body segmentation using permutation importance

Language: Jupyter Notebook - Size: 27.8 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

pyladiesams/intro-to-explainabilty-in-finance-oct2024

Building a model is just one piece of the puzzle in data science; explaining how it works is just as important, especially in finance where transparency and explainability is key.

Language: Jupyter Notebook - Size: 7.48 MB - Last synced at: 12 days ago - Pushed at: 6 months ago - Stars: 2 - Forks: 2

Luckilyeee/SG-CF

SG-CF Shapelet-Guided Counterfactual Explanation for Time Series Data (2022 Big Data)

Language: Jupyter Notebook - Size: 36.8 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

MortadhaMannai/XAIPalette-Exploring-Image-Structure-via-Color-Distillation-for-Explainable-AI

This repository contains the PyTorch implementation of XAIPalette, a novel approach aiming to explore image structure via Color Distillation for Explainable AI (XAI). It provides insights into image interpretation by distilling structural information through color representation.

Language: Python - Size: 30.3 KB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

MortadhaMannai/XAI-Multi-Modal-Handwriting-Analysis-with-Variational-Autoencoders-Siamese-Networks-and-MT-Learning

We analyze the handwritten AND image dataset from various writers using Variational Autoencoders, Siamese Network and then pass it through a Multi-Task Learning process to get the 15 features of the images directly. This is then used to compare the handwriting of the writers

Language: Jupyter Notebook - Size: 30.7 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

MortadhaMannai/XAI-Explainability_of_FND_Models

This repository aims to explain state-of-the-art Fake News Detection models. Huggingface module is intended for explaining only-text-based fake news detection models in Transformers. GNNFakeNews module is an attempt to explain GNNs that are hybrid models for fake news detection using GNNExplainer

Language: Jupyter Notebook - Size: 72.3 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0