Projects in Awesome Lists tagged with interpretable-deep-learning

https://github.com/jacobgil/pytorch-grad-cam

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

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

Last synced: 12 May 2025

https://github.com/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)

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

Last synced: 08 Oct 2025

https://github.com/kundajelab/deeplift

Public facing deeplift repo

deeplift guided-backpropagation integrated-gradients interpretability interpretable-deep-learning saliency-map sensitivity-analysis

Last synced: 27 Jan 2026

https://github.com/1202kbs/Understanding-NN

Tensorflow tutorial for various Deep Neural Network visualization techniques

computer-vision deep-taylor-decomposition interpretable-deep-learning lrp sensitivity-analysis tensorflow tutorial

Last synced: 01 May 2025

https://github.com/suinleelab/path_explain

A repository for explaining feature attributions and feature interactions in deep neural networks.

explainable-ai interpretable-deep-learning machine-learning pytorch tensorflow

Last synced: 26 Dec 2025

https://github.com/pietrobarbiero/pytorch_explain

PyTorch Explain: Interpretable Deep Learning in Python.

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

Last synced: 06 Apr 2025

https://github.com/Shen-Lab/DeepAffinity

Protein-compound affinity prediction through unified RNN-CNN

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

Last synced: 11 May 2025

https://github.com/laura-rieger/deep-explanation-penalization

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

ai artificial-intelligence cdep convolutional-neural-network data-science deep-learning explainability explainable-ai fairness fairness-ml feature-importance interpretability interpretable-deep-learning jupyter-notebook machine-learning ml neural-network python pytorch recurrent-neural-network

Last synced: 08 May 2025

https://github.com/suinleelab/attributionpriors

Tools for training explainable models using attribution priors.

artificial-intelligence interpretable-deep-learning machine-learning tensorflow

Last synced: 26 Dec 2025

https://github.com/andreysharapov/xaience

All about explainable AI, algorithmic fairness and more

explainable-ai explainable-artificial-intelligence explainable-ml interpretability interpretable-ai interpretable-deep-learning interpretable-machine-learning

Last synced: 17 Jan 2026

https://github.com/wl-zhao/diml

[ICCV 2021] Towards Interpretable Deep Metric Learning with Structural Matching

computer-vision deep-learning deep-metric-learning iccv2021 interpretable-deep-learning

Last synced: 15 May 2025

https://github.com/M-Nauta/ProtoTree

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

computer-vision cvpr2021 decision-trees deep-neural-networks explainability explainable-ai explainable-ml fine-grained-classification fine-grained-visual-categorization interpretability interpretable-deep-learning interpretable-machine-learning pytorch

Last synced: 08 May 2025

https://github.com/wanyu-lin/ICML2021-Gem

Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."

graph-neural-networks interpretable-deep-learning

Last synced: 21 Jul 2025

https://github.com/scottgigante/m-phate

Multislice PHATE for tensor embeddings

deep-learning interpretable-deep-learning neural-networks visualization

Last synced: 27 Feb 2026

https://github.com/matlab-deep-learning/explore-deep-network-explainability-using-an-app

This repository provides an app for exploring the predictions of an image classification network using several deep learning visualization techniques. Using the app, you can: explore network predictions with occlusion sensitivity, Grad-CAM, and gradient attribution methods, investigate misclassifications using confusion and t-SNE plots, visualize layer activations, and many more techniques to help you understand and explain your deep network’s predictions.

deep-learning explainable-ai gradcam interpretable-deep-learning matlab matlab-deep-learning pretrained-models transfer-learning