explainable-deepneuralnetwork
There are 19 repositories under explainable-deepneuralnetwork topic.
liznerski/fcdd
Repository for the Explainable Deep One-Class Classification paper
akarasman/yolo-heatmaps
A utility for generating heatmaps of YOLOv8 using Layerwise Relevance Propagation (LRP/CRP).
marvinbuss/ExplainableML-Vision
This repository introduces different Explainable AI approaches and demonstrates how they can be implemented with PyTorch and torchvision. Used approaches are Class Activation Mappings, LIMA and SHapley Additive exPlanations.
yuvalailer/nnplot
:tv: A Python library for pruning and visualizing Keras Neural Networks' structure and weights
EBAnO-Ecosystem/Text-EBAnO-Express
T-EBAnO: Explaining deep learning black-box models for Natural Language Processing.
mahdihosseini/GenProb
In Search of Probeable Generalization Measures [ICMLA2021]
EloiZ/awesome_explainable_driving
A curated list of papers on explainability and interpretability of self-driving models
Bessouat40/nginx-reactjs-fastapi-pneumonia-detection
Pneumonia Detection Software with Database
EloiZ/awesome-contrastive-explanation
A curated list of awesome contrastive explanation in ML resources
scottjingtt/awesome-interpretable-transfer-learning
Paper and resources collections about interpretable AI (XAI)
yassine-rd/deep-learning-course
This repository contains my personal notes and Jupyter notebooks on Deep Learning Specialization course at the university Haute-Alsace.
janvis04/Generative-Explanation-Framework
GEF - Generative Explanation Framework was introduced by Liu et al., which generates textual explanations for a text classification task. The talk was given as part of a seminar at the Saarland University.
Milan-Chicago/Explainable-AI-Examples
AI explainability is a big topic in the tech world right now, & experts have been working to create ways for machines to start explaining what they are doing. So I am compiling all great examples of tools used to help with AI explainability.
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
polimi-ispl/speech_reconstruction_embeddings
Speech reconstruction from pre-trained CNN embeddings
damzC/explainable-AI
This repository contains some work on Explainable Artificial Intelligence
dlambert13/silver-system
Graduate research project in computer vision and deep learning explainability
marcusnk237/dataset_gradcam_plus_plus
One of the firsts dataset level explanability libraries for 1d signal using GRAD-CAM++