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Apr 9, 2019 - Jupyter Notebook
explainable-deepneuralnetwork
Here are 20 public repositories matching this topic...
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.
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Jan 29, 2021
This repository contains some work on Explainable Artificial Intelligence
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Apr 17, 2023 - Jupyter Notebook
Speech reconstruction from pre-trained CNN embeddings
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Apr 13, 2021 - Python
Explainable deep networks that are not only as accurate as their black-box deep-learning counterparts but also as interpretable as state-of-the-art explanation techniques.
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Dec 21, 2023 - Python
This repository contains my personal notes and Jupyter notebooks on Deep Learning Specialization course at the university Haute-Alsace.
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Oct 23, 2022 - Jupyter Notebook
One of the firsts dataset level explanability libraries for 1d signal using GRAD-CAM++
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Apr 9, 2023 - Python
A curated list of awesome contrastive explanation in ML resources
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Mar 18, 2020
Graduate research project in computer vision and deep learning explainability
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Jun 19, 2023 - Python
Paper and resources collections about interpretable AI (XAI)
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Jul 13, 2022
A curated list of papers on explainability and interpretability of self-driving models
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Jan 27, 2021
T-EBAnO: Explaining deep learning black-box models for Natural Language Processing.
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Jan 23, 2023 - Jupyter Notebook
In Search of Probeable Generalization Measures [ICMLA2021]
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Jan 4, 2022 - Jupyter Notebook
Pneumonia Detection Software with Database
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Jan 8, 2024 - JavaScript
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.
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May 4, 2021 - Jupyter Notebook
📺 A Python library for pruning and visualizing Keras Neural Networks' structure and weights
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Dec 24, 2019 - Python
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
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Sep 10, 2023 - Python
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.
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Jul 1, 2022 - Jupyter Notebook
A utility for generating heatmaps of YOLOv8 using Layerwise Relevance Propagation (LRP/CRP).
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Feb 13, 2024 - Jupyter Notebook
Repository for the Explainable Deep One-Class Classification paper
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Aug 30, 2023 - Python
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