interpretable-deep-learning

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

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Updated Apr 29, 2024
Python

jerry2137 / RISE-CAM

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Explainable AI for Image Classification

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Updated Apr 13, 2024
Jupyter Notebook

iurada / px-ntk-pruning

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Official repository of our work "Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning" accepted at CVPR 2024

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Updated Apr 8, 2024
Python

mateoespinosa / tabcbm

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Official Implementation of TMLR's paper: "TabCBM: Concept-based Interpretable Neural Networks for Tabular Data"

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Updated Apr 4, 2024
Python

CLIAgroup / TesNet

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ICCV2021 paper: Interpretable Image Recognition by Constructing Transparent Embedding Space (TesNet)

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Updated Mar 28, 2024
Python

wideraHannes / SHAP-In-NLP

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Code for my thesis about SHAP. Implementation of DecisionTree, SVM, BERT on 2 Datasets Imdb and Argument Mining

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Updated Mar 26, 2024
Jupyter Notebook

Misterion777 / moe-routing

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Analysis of token routing for different implementations of Mixture of Experts

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Updated Mar 22, 2024
Jupyter Notebook

pietrobarbiero / pytorch_explain

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PyTorch Explain: Interpretable Deep Learning in Python.

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Updated Mar 18, 2024
Jupyter Notebook

M-Nauta / PIPNet

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PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)

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Updated Feb 22, 2024
Python

Z80coder / db-nets

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∂B nets: learning discrete, boolean-valued functions by gradient descent

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Updated Jan 30, 2024
Mathematica

Jathurshan0330 / Cross-Modal-Transformer

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Official repository of cross-modal transformer for interpretable automatic sleep stage classification. https://arxiv.org/abs/2208.06991

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Updated Jan 18, 2024
Jupyter Notebook

releaunifreiburg / INN

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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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Updated Dec 21, 2023
Python

sauravmishra1710 / Malaria-Detection-Using-Deep-Learning-Techniques

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Malaria Parasite Detection using Efficient Neural Ensembles. Malaria, a life threatening disease caused by the bite of the Anopheles mosquito infected with the parasite, has been a major burden towards healthcare for years leading to approximately 400,000 deaths globally every year. This study aims to build an efficient system by applying ensemb…