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URL: https://github.com/topics/lime-explanation

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lime-explanation

Here are 4 public repositories matching this topic...

Broundal / Pytolemaic

Toolbox for analysis of model's quality and model's description. For further details see

quality data-science quality-control ai ml data-analysis model-checking predictive-analysis sensitivity predictive-modeling sensitivity-analysis evaluation-metrics prediction-model feature-importance explainable-ai explainable-ml explainability prediction-uncertainty feature-sensitivity lime-explanation

Updated
Python

Nirmala-research / YOLOv7-XAI

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

image-processing skin-detection explainable-artificial-intelligence skin-cancer explainable-ai early-detection multiclass-image-classification melanoma-detection shap-values melanoma-classification lime-explanation skin-cancer-diagnosis image-processing-yolo yolo-object-detection-new-with-opencv yolo-object-detection-recent-with-opencv yolov7-xai-2025-object-detection-with-opencv yolo-recent-with-opencv yolo-2025-new-version-latest

Updated
Python

sharshitha1606 / Fake_News_Detection_With_Explainable_AI_Using_Lime

Comparative Analysis of Bi-Directional Long Short-Term Memory and BERT Models for Fake News Detection with Explainable AI Using Lime

fake-news bert bi-lstm lime-explanation

Updated
Jupyter Notebook

tj2904 / iris-classification-with-lime

An exploration of the Iris dataset using two algorithms. K-Means Clustering & Logistic Regression with Lime Explaination.

python3 logistic-regression iris-dataset k-means-clustering ipynb-jupyter-notebook lime-explanation

Updated
Jupyter Notebook

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