doscsy12/ADI_projects

Data science projects at Aboitiz

Language: Jupyter Notebook - Size: 53 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0

KaryFramling/ciu

R implementation of Contextual Importance and Utility for Explainable AI

Language: R - Size: 6.34 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 10 - Forks: 5

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: 17 days ago - Stars: 341 - Forks: 44

shrebox/B-cosification

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

Language: Jupyter Notebook - Size: 16.7 MB - Last synced at: 21 days ago - Pushed at: 22 days ago - Stars: 30 - Forks: 0

chensy618/SuperpixelCUB

Automated key point identification and description for Vision Transformers using vision-language models

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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: 764 KB - Last synced at: 23 days ago - Pushed at: 24 days ago - Stars: 33 - Forks: 1

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: 1.39 MB - Last synced at: 20 days ago - Pushed at: 27 days ago - Stars: 17 - Forks: 2

albertovalerio/brain-tumor-segmentation-with-explainability

The primary objective of this work is to develop an innovative system capable of providing explainable brain tumor detection.

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yuntech-bdrc/WaterQuality

An explainable water quality classification model

Language: Jupyter Notebook - Size: 2.32 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 52 - Forks: 19

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: 61.3 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 436 - Forks: 56

ModelOriented/treeshap

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

Language: R - Size: 19.7 MB - Last synced at: 20 days ago - Pushed at: 11 months ago - Stars: 88 - Forks: 24

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: 7 months ago - Stars: 134 - Forks: 15

jpmorganchase/cf-shap

Counterfactual SHAP: a framework for counterfactual feature importance

Language: HTML - Size: 823 KB - Last synced at: 11 days ago - Pushed at: almost 2 years ago - Stars: 20 - Forks: 9

ModelOriented/DALEX

moDel Agnostic Language for Exploration and eXplanation

Language: Python - Size: 798 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 1,422 - Forks: 168

AapseMatlb/pickasso-hmi

A real-time Human-Machine Interface (HMI) Dashboard for the Pickasso autonomous trash-collecting robot. Features include voice command control, real-time robot status monitoring, explainability of robot decisions, and manual override capabilities. Built using React, Convex Cloud, and Tailwind CSS for responsive and modern UI.

Language: TypeScript - Size: 242 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ritu-thombre99/explaining_quanvolution

This work explores whether the quanvolution neural network is explainable by proposing a novel mathematical approach for quantifying explainability

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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

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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: about 2 months ago - Pushed at: over 1 year ago - Stars: 14 - Forks: 2

koulanurag/mmn

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

Language: Python - Size: 115 MB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 50 - Forks: 13

lsch0lz/counterfactuals

Counterfactuals: Take the uncertainty out of your machine learning models

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AstraZeneca/awesome-shapley-value

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

Size: 622 KB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 150 - Forks: 12

zju-vipa/awesome-neural-trees

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

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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: about 2 months ago - Pushed at: almost 5 years ago - Stars: 105 - Forks: 8

KaryFramling/py-ciu

Explainable Artificial Intelligence through Contextual Importance and Utility

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henrikbostrom/xrf

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

Language: Python - Size: 360 KB - Last synced at: 19 days ago - Pushed at: 7 months ago - Stars: 3 - Forks: 0

cwangrun/CIPL

[TMI 2025] Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation

Language: Python - Size: 1020 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

jpmorganchase/cf-shap-facct22

Counterfactual Shapley Additive Explanation: Experiments

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imatge-upc/SurvLIMEpy

Local interpretability for survival models

Language: Python - Size: 3.7 MB - Last synced at: 4 days ago - Pushed at: about 1 year ago - Stars: 24 - Forks: 4

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: 3 months ago - Pushed at: 7 months ago - Stars: 40 - Forks: 7

dianna-ai/dianna

Deep Insight And Neural Network Analysis

Language: Jupyter Notebook - Size: 279 MB - Last synced at: 7 days ago - Pushed at: 5 months ago - Stars: 52 - Forks: 13

si-cim/cbc-aaai-2025

Deep CBC Models for Prototype Based Interpretability Benchmarks

Language: Python - Size: 1.65 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Kaif0708/Credit-Risk-Explainability

Credit Risk Explainability is an open-source implementation of the research paper: "An Explainable AI Framework for Credit Evaluation and Analysis" (Applied Soft Computing Journal, 2024).

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jwuphysics/sparse-feature-networks

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

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dylan-slack/TalkToModel

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

Language: Python - Size: 10.1 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 120 - Forks: 25

JieZheng-ShanghaiTech/NexLeth

NexLeth is a framework based on LLMs like GPT and a natural language dataset for explaining synthetic lethality (SL) mechanism.

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dianna-ai/dianna-exploration

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

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paggoo/javelin-perf

XAI-supported motion improvement hints with the aim of increasing javelin-throw distance @HCAI Augsburg University

Language: Python - Size: 49.4 MB - Last synced at: 5 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

adrianstando/edgaro

Explainable imbalanceD learninG compARatOr - Engineering Thesis Project

Language: Python - Size: 7.8 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 1

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.

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EBAnO-Ecosystem/Text-EBAnO-Express

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

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sbobek/lux

Local Universal Rule-based Explanations

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

Nirmala-research/YOLOv7-XAI

Multiclass Skin lesion localization and Detection with YOLOv7-XAI Framework with explainable AI

Language: Python - Size: 1.59 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

EloiZ/awesome-contrastive-explanation

A curated list of awesome contrastive explanation in ML resources

Size: 18.6 KB - Last synced at: 11 days ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0

conorosully/interpreting-coastline-unet

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

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piotromashov/baycon

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

Language: Python - Size: 4.37 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 8 - Forks: 0

noame12/Explainable_Attention_Based_Deepfake_Detector

A Deepfake detector based on hybrid EfficientNet CNN and Vision Transformer archietcture. The model is explainable by rendering a heatmap visualization of the Transformer Relevancy / Attention map.

Language: Python - Size: 71.3 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 13 - Forks: 3

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: 18 days ago - Pushed at: 9 months ago - Stars: 3 - Forks: 2

Pranav2092/Intrustion-Detection-Using-Modified-Tree-SHAP

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MortadhaMannai/DEVFEST-Sousse-2024-TunisIA-XAI-Unleashed-Bringing-Clarity-to-the-Complex-World-of-AI

In this session, we will unravel the mysteries of XAI, diving into techniques that go beyond conventional AI methods. We’ll explore how to make black-box models more transparent and examine the ethical implications of AI decision-making

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safiulhaquechowdhury/REGRESSION-MODELS-APPLICATION-IN-NEWBORN

This repository presents the research project "Newborn Weight Prediction and Interpretation Utilizing Explainable Machine Learning," by Safiul Haque Chowdhury. It utilizes machine learning and Explainable AI (XAI) to predict newborn weight and analyze factors influencing it. Developed in Bangladesh University's Lab Basement 4.

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EMCL-Research-ITSecLab/ssci23-xai-network-traffic

SSCI23 Explainable AI in Network Traffic Classification

Language: Python - Size: 13.2 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Bessouat40/nginx-reactjs-fastapi-pneumonia-detection

Pneumonia Detection Software with Database

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Luckilyeee/SG-CF

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

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CarachinoAlessio/ML-techniques-for-State-Estimation

This repo contains the code of my Master's Thesis. Specifically, it consists in exploring different techniques(Explanable AI, Physics Informed NN, ...) to perform State Estimation

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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

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: 11 months ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 2

xmlx-dev/.github

XMLX GitHub configuration

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zhaoren91/awesome-heart-sound-analysis

Awesome Heart Sound Analysis - A Survey

Size: 493 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 8 - Forks: 0

dlt3/Water-Quality-analysis-with-XAI

Water quality analysis and interpretation using explainable artificial intelligence

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mvidaldp/pepper_storyteller

Choregraphe App for Pepper robots to enable them to tell a scripted story specified in a Google spreadsheet.

Language: JavaScript - Size: 12.5 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

raimondilab/An-explainable-model-of-host-genetic-interactions-linked-to-Covid19-severity

This project focused on the mapping of the host-genetics factors determining COVID-19 severity using Machine learning approaches (supervised, unsupervised Machine learning methods, Pathway signaling processes, and Open Targets web-based Platform). Our study utilized the whole-exome sequencing genome dataset of 2000 European descent patients collected from the GEN-COVID Multicenter Study group (https://clinicaltrials.gov/ct2/show/NCT04549831) coordinated by the University of Siena. The whole-exome genome sequencing dataset contained 1.057M genetic variants of the patients. We used the 2000 patients’ original phenotype information to filter only patients with severity and asymptomatic across all classification criteria (841 patients). We introduced an innovative variant screening strategy that applied K-stratified fold splits of the original dataset to randomly draw a unique 5-fold pool of variants using the patients’ original phenotype information (841 unique patients).

Language: Jupyter Notebook - Size: 12 MB - Last synced at: 11 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 2

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: 3.03 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 95 - Forks: 21

ZKBig/XRouting

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

Language: Python - Size: 18.4 MB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 0

sourceduty/xAI

🤖 Making AI understandable and transparent, enhancing trust and accountability.

Size: 7.81 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

iremhttp/Breast-Cancer-Detection

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trustworthy-ml-course/trustworthy-ml-course.github.io

Trustworthy AI/ML course by Professor Birhanu Eshete, University of Michigan, Dearborn.

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ahmed-mohamed-sn/ATgfe

Automated Transparent Genetic Feature Engineering

Size: 2.19 MB - Last synced at: 6 days ago - Pushed at: almost 2 years ago - Stars: 22 - Forks: 5

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: about 1 year ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 0

zsxkib/Most-Under-and-Over-Priced-Cars

Determine what influences and drives car prices given technical specs and identify which car(s) are the most under/overpriced and why.

Language: Jupyter Notebook - Size: 3.84 MB - Last synced at: 3 days ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

dg1223/xai-bias-fairness

A collection of notebooks to explore bias, fairness and explainability of machine learning models

Language: Jupyter Notebook - Size: 336 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - 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: about 1 year ago - Pushed at: over 2 years ago - Stars: 25 - Forks: 5

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: about 1 year ago - Pushed at: about 1 year ago - Stars: 45 - Forks: 6

andresilvapimentel/endocrine-disruption-explainer

Endocrine Disruption Explainer is a code to generate structural alerts of endocrine disruption of chemcial compounds using Local Interpretable Model-Agnostic Explanations (LIME) of machine learning models from TOX-21, EDC, and EDKB-FDA datasets.

Language: Jupyter Notebook - Size: 9.49 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

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

CLIAgroup/TesNet

ICCV2021 paper: Interpretable Image Recognition by Constructing Transparent Embedding Space (TesNet)

Language: Python - Size: 854 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Kaushikjas10/Liquefaction-gravel-eml-2023

This repository is associated with interpretable/explainable ML model for liquefaction potential assessment of gravelly soils. This model is developed using LightGBM and SHAP.

Language: Jupyter Notebook - Size: 616 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

fau-masters-collected-works-cgarbin/shap-experiments-image-classification

Exploring SHAP feature attribution for image classification

Language: Jupyter Notebook - Size: 26.3 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

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: over 5 years ago - Stars: 3 - Forks: 2

blavad/DQN-tensorflow

Tensorflow implementation of Deep Q-Network (DQN) and Behavior Cloning (BC) to learn how to defeat humans in a FlappyBird game.

Language: Jupyter Notebook - Size: 3.73 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

AIC-XAI-TEAM/PLOBELM_1_TEAM_2

AIC XAI 문제 1번 2팀 레파지토리

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

AIC-XAI-TEAM/PLOBELM_1_TEAM_1

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

ModelOriented/Arena

Interactive XAI dashboard

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

ModelOriented/auditor

Model verification, validation, and error analysis

Language: R - Size: 50.6 MB - Last synced at: 19 days ago - Pushed at: over 1 year ago - Stars: 58 - Forks: 13

M4thinking/DestillML

El proyecto se centra en la destilación de conocimiento y técnicas de explicabilidad para mejorar el rendimiento de redes neuronales en imágenes naturales.

Language: Python - Size: 145 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

IS2AI/city-identification

This repo contains dataset and models for city classification

Language: Python - Size: 84 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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: over 1 year ago - Pushed at: over 1 year ago - Stars: 43 - Forks: 8

cwangrun/InterNRL

[TMI 2023] An Interpretable Deep Disease Diagnosis Framework

Language: Python - Size: 135 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - 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: about 1 year ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 1

vigneashpandiyan/Additive-Manufacturing-Sensor-Selection-Acoustic-Emission

Sensor selection for process monitoring based on deciphering acoustic emissions from different dynamics of the Laser Powder Bed Fusion process using Empirical Mode Decompositions and Interpretable Machine Learning

Language: Python - Size: 155 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 1

declare-lab/identifiable-transformers

Language: Python - Size: 11.1 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 22 - Forks: 2

andresilvapimentel/mutagen-explainer

Mutagen Explainer is a code to generate structural alerts of mutagenicity of chemcial compounds using Local Interpretable Model-Agnostic Explanations (LIME) of machine learning models from Bursi and Hansen Ames mutagenicity datasets.

Language: Jupyter Notebook - Size: 16.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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: 2 months ago - Pushed at: almost 6 years ago - Stars: 26 - Forks: 2

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

LambdaAlpha/airagi-doc

An experimental AGI

Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

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: over 1 year ago - Pushed at: over 1 year ago - Stars: 35 - Forks: 11

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: about 1 year 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

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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: about 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

narimannemo/pine

An Explainable AI framework for interpreting Deep Neural Networks predictions.

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