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interpretable-deep-learning

Here are 112 public repositories matching this topic...

MinghuiChen43 / awesome-trustworthy-deep-learning

A curated list of trustworthy deep learning papers. Daily updating...

Updated Nov 12, 2024

torch-cam

frgfm / torch-cam

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

python deep-learning grad-cam cnn pytorch saliency-map interpretability smoothgrad interpretable-deep-learning gradcam activation-maps class-activation-map gradcam-plus-plus score-cam

Updated Nov 11, 2024
Python

1pha / brain-age-prediction

Brain age prediction and networks explainability on their decision

deep-learning regression interpretable-deep-learning explainability brain-age-prediction

Updated Nov 8, 2024
Jupyter Notebook

sentspace / sentspace

a module to obtain diverse real-world-grounded features for sentences for large-scale benchmarking

cognitive-science natural psycholinguistics interpretability interpretable-deep-learning neuroscie

Updated Nov 6, 2024
Python

Henrymachiyu / ProtoViT

This code implements ProtoViT, a novel approach that combines Vision Transformers with prototype-based learning to create interpretable image classification models. Our implementation provides both high accuracy and explainability through learned prototypes.

computer-vision interpretable-deep-learning xai interpretable-machine-learning vision-transformer

Updated Nov 6, 2024
Python

jacobgil / pytorch-grad-cam

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

machine-learning computer-vision deep-learning grad-cam pytorch image-classification object-detection visualizations interpretability class-activation-maps interpretable-deep-learning interpretable-ai explainable-ai explainable-ml xai score-cam vision-transformers

Updated Oct 19, 2024
Python

innoisys / ArachNet

Official Implementation of ARACHNET: INTERPRETABLE SUB-ARACHNOID SPACE SEGMENTATION USING AN ADDITIVE CONVOLUTIONAL NEURAL NETWORK

computer-vision convolutional-neural-networks additive-models interpretability interpretable-deep-learning mri-segmentation

Updated Oct 1, 2024
Python

ShengcaiLiao / TransMatcher

[NeurIPS 2021] TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification

transformers metric-learning re-identification image-matching deep-metric-learning person-reidentification person-search interpretability generalization re-id reidentification person-recognition person-re-identification correspondence interpretable-deep-learning reid person-reid domain-generalization person-retrieval generalizability

Updated Sep 3, 2024
Python

jerry2137 / RISE-CAM

Explainable AI for Image Classification

python deep-learning grad-cam cnn pytorch classification saliency-map rise interpretable-deep-learning explainable-ai xai gradcam-plus-plus smoothgradcam

Updated Aug 16, 2024
Jupyter Notebook

Shen-Lab / DeepAffinity

Protein-compound affinity prediction through unified RNN-CNN

protein semi-supervised-learning drug-discovery attention-mechanism interpretable-deep-learning

Updated Jul 19, 2024
Python

benjaminpatrickevans / XAI

Genetic programming method for explaining complex black-box models

interpretable-deep-learning interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning

Updated Jun 17, 2024
Python

pietrobarbiero / pytorch_explain

PyTorch Explain: Interpretable Deep Learning in Python.

python machine-learning entropy deep-learning neural-network logic pytorch lens sympy interpretability interpretable-deep-learning interpretable-ai explainable-ai interpretable-machine-learning explainability

Updated May 16, 2024
Jupyter Notebook

alirezaabdollahpour / CURE_fast_adversarial

An unofficial version of the PyTorch implementation of CURE and Fast Adversarial training with FGSM.

deep-learning optimization safety curvature robustness adversarial-examples adversarial-attacks interpretable-deep-learning

Updated May 14, 2024
Python

qisuqi / FocusLearn

time-series interpretable-deep-learning xai modular-networks

Updated May 12, 2024
Python

iurada / px-ntk-pruning

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

deep-learning artificial-intelligence interpretable-deep-learning neural-tangent-kernel pruning-at-initialization

Updated Apr 8, 2024
Python

mateoespinosa / tabcbm

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

concepts tabular-data artificial-intelligence neural-networks tabular explainable-artificial-intelligence interpretable-deep-learning explainable-ai xai explainability concept-based-explanations concept-based-models

Updated Apr 4, 2024
Python

CLIAgroup / TesNet

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

image-classification explainable-artificial-intelligence interpretable-deep-learning interpretable-ai xai interpretable-machine-learning

Updated Mar 28, 2024
Python

wideraHannes / SHAP-In-NLP

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

nlp machine-learning sentiment-analysis thesis transformer overview bachelor-thesis bert argument-mining interpretable-deep-learning explainable-ai interpretable-machine-learning shap shapley-additive-explanations

Updated Mar 26, 2024
Jupyter Notebook

ilyalasy / moe-routing

Analysis of token routing for different implementations of Mixture of Experts

deep-learning artificial-intelligence interpretable-deep-learning mixture-of-experts

Updated Mar 22, 2024
Jupyter Notebook

M-Nauta / PIPNet

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

concepts pytorch image-classification transparency prototypes explainable-artificial-intelligence interpretable-deep-learning interpretable-ml explainable-ai disentangled-representations xai interpretable-machine-learning prototypical-learning cvpr2023 part-prototypes

Updated Feb 22, 2024
Python

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