xai-evaluation

There are 0 repository under xai-evaluation topic.

SinaMohseni / Awesome-XAI-Evaluation
Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems
awesome awesome-list interpretable-machine-learning xai-evaluation
74
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".
explainability explainability-metric explainable-ai xai xai-analytics xai-evaluation
Language:Python 8
lkopf / cosy
CoSy: Evaluating Textual Explanations
global-explainability mechanistic-interpretability xai-evaluation machine-learning
Language:Jupyter Notebook 8
dbdmg / Explainable-and-trustworthy-AI
Explainable and trustworthy AI Course
xai xai-evaluation
Language:Jupyter Notebook 7
JHoelli / Semantic-Meaningfulness
Semantic Meaningfulness: Evaluating counterfactual approaches for real world plausibility
counterfactuals xai-evaluation
Language:Python 5
Oxid15 / xai-benchmark
Open and extensible benchmark for XAI methods
interpretability xai xai-evaluation iml machine-learning
Language:Python 4
AkashVS01 / Covid-detection-using-XAI
CNN architectures Resnet-50 and InceptionV3 have been used to detect whether the CT scan images is covid affected or not and prediction is validated using explainable AI frameworks LIME and GradCAM.
covid-19 ct-scan-images gradcam-heatmap gradcam-visualization inceptionv3 lime resnet-50 xai xai-evaluation
Language:Jupyter Notebook 2
GhadaElkhawaga / ConsisXAI
ConsisXAI is an implementation of a technique to evaluate global machine learning explainability (XAI) methods based on feature subset consistency
machine-learning machine-learning-explainability explainable-ai xai xai-evaluation
Language:Python 2
Enantiodromis / XAI_Classification
machine-learning classification xai xai-evaluation
Language:Python 1
lelo204 / ClassificationMetricsForImageExplanations
Code for evaluating saliency maps with classification metrics.
machine-learning saliency-maps xai-evaluation
Language:Python 1
rgtzths / xai_fl
This repository is the code basis for the paper titled "Balancing Privacy and Explainability in Federated Learning"
distributed-learning federated-learning grad-cam integrated-gradients machine-learning xai xai-evaluation
Language:Python 1
YuutoAiza / AutoDL_XAI
Research on AutoML and Explainability．
automl computer-vision deep-learning grad-cam image-classification machine-learning neural-architecture-search pytroch xai xai-evaluation
Language:Python 1
AyeshaAmjad0828 / ML1-XAI
A course project on explainable AI
data-science explainable-ai explainable-ml interpretable-machine-learning ml xai-evaluation
Language:Jupyter Notebook
ggjay9 / Application-Flow-Identification
Classify applications using flow features with Random Forest and K-Nearest Neighbor classifiers. Explore augmentation techniques like oversampling, SMOTE, BorderlineSMOTE, and ADASYN for better handling of underrepresented classes. Measure classifier effectiveness for different sampling techniques using accuracy, precision, recall, and F1-score.
adasyn-sampling application-identification knn machine-learning network-analysis random-forest sampling-methods smote-sampling xai-evaluation
Language:Jupyter Notebook

xai-evaluation

SinaMohseni / Awesome-XAI-Evaluation

Francesco-Sovrano / DoXpy

lkopf / cosy

dbdmg / Explainable-and-trustworthy-AI

JHoelli / Semantic-Meaningfulness

Oxid15 / xai-benchmark

AkashVS01 / Covid-detection-using-XAI

GhadaElkhawaga / ConsisXAI

Enantiodromis / XAI_Classification

lelo204 / ClassificationMetricsForImageExplanations

rgtzths / xai_fl

YuutoAiza / AutoDL_XAI

AyeshaAmjad0828 / ML1-XAI

ggjay9 / Application-Flow-Identification