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Search results for explainable artificial intelligence
explainable-artificial-intelligence
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44 search results found
Dalex
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1,242
moDel Agnostic Language for Exploration and eXplanation
Explainx
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375
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]
Pyss3
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307
A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)
Grad_cam_plus_plus
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176
A generalized gradient-based CNN visualization technique
Xaience
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100
All about explainable AI, algorithmic fairness and more
Tsinterpret
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83
An Open-Source Library for the interpretability of time series classifiers
Treeshap
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72
Compute SHAP values for your tree-based models using the TreeSHAP algorithm
Talktomodel
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68
TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!
Awesome Shapley Value
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63
Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
Excitationbp
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59
Visualizing how deep networks make decisions
Auditor
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59
Model verification, validation, and error analysis
Xai Iml Sota
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50
Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
Lime For Time
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47
Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
Mmn
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40
Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks
Awesome Neural Trees
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35
Introduction, selected papers and possible corresponding codes in our review paper "A Survey of Neural Trees"
Goneat_ns
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35
This project provides GOLang implementation of Neuro-Evolution of Augmented Topologies (NEAT) with Novelty Search optimization aimed to solve deceptive tasks with strong local optima
Msda
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34
multi-dimensional, multi-sensor, multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector
Yolo Heatmaps
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32
A utility for generating heatmaps of YOLOv8 using Layerwise Relevance Propagation (LRP/CRP).
Fast Tsetlin Machine In Cuda With Imdb Demo
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25
A CUDA implementation of the Tsetlin Machine based on bitwise operators
Xai_thyroid
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24
All Classification and Object Detection XAI methods (CAM-based, backpropagation-based, perturbation-based, statistic-based) for thyroid cancer ultrasound images
3d Guidedgradcam For Medical Imaging
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23
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.
Protopformer
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17
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
Arena
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17
Interactive XAI dashboard
Survlimepy
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16
Local interpretability for survival models
Xai Scholar
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16
Cross-field empirical trends analysis of XAI literature
Pipnet
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15
PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)
Awesome Prototype Based Papers
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15
This is a list of awesome prototype-based papers for explainable artificial intelligence.
Identifiable Transformers
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14
Vivo
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13
Variable importance via oscillations
Xai4se.github.io
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12
Explainable AI for Software Engineering: A Hands-on Guide on How to Make Software Analytics More Practical, Explainable, and Actionable (https://xai4se.github.io)
Siren
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12
SIREN: A Simulation Framework for Understanding the Effects of Recommender Systems in Online News Environments
2021l Wb Xai 1
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11
Case Study course for DS studies in Summer 2020/2021
Goeshyperneat
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9
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.
Atgfe
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8
Automated Transparent Genetic Feature Engineering
Transparency Guidelines
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8
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.
Adversarial Perturbations On Images And Videos
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8
Code and data from the paper "Targeted Nonlinear Adversarial Perturbations in Images and Videos".
2021 Kotra
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7
[ 공모전 ] 코트라 데이터활용 빅데이터 분석 경진대회
2022 Bigcontest
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7
[ 공모전 ] 다각적 모델을 활용한 대출 신청 여부 예측과 고객 군집 별 서비스 메시지 제안 : 이상치 탐지, 머신러닝, 딥러닝 모델
Java Naive Bayes Classifier Jnbc
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6
A scalable, explainable Java Naive Bayes Classifier that works either in memory or on persistent fast key-value store (MapDB, RocksDB or LevelDB)
Plobelm_1_team_2
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6
AIC XAI 문제 1번 2팀 레파지토리
Text Ebano Express
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5
T-EBAnO: Explaining deep learning black-box models for Natural Language Processing.
Mmp
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5
Explanations in Multi-Model Planning
Ciu
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5
R implementation of Contextual Importance and Utility for Explainable AI
Cf Shap
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5
Counterfactual SHAP: a framework for counterfactual feature importance
1-44 of 44 search results
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