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interpretable-deep-learning

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jacobgil / pytorch-grad-cam

Star 13k

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 Aug 13, 2026
  • Python

frgfm / torch-cam

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Star 2.3k

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, Finer-CAM, LeGrad, RefineCAM)

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 Aug 18, 2026
  • Python

kundajelab / deeplift

Star 881

Public facing deeplift repo

sensitivity-analysis saliency-map interpretability guided-backpropagation interpretable-deep-learning deeplift integrated-gradients
  • Updated Apr 28, 2022
  • Python

1Konny / gradcam_plus_plus-pytorch

Star 399

A Simple pytorch implementation of GradCAM and GradCAM++

interpretable-deep-learning gradcam cnn-visualization gradcam-plus-plus
  • Updated Apr 23, 2019
  • Jupyter Notebook

MinghuiChen43 / awesome-trustworthy-deep-learning

Star 390

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

security privacy deep-learning backdoor uncertainty ownership causality fairness watermarking poisoning robustness adversarial-machine-learning machine-unlearning interpretable-deep-learning ai-alignment green-ai membership-inference-attack hallucinations gradient-leakage out-of-distribution-generalization
  • Updated Aug 11, 2026

1202kbs / Understanding-NN

Star 343

Tensorflow tutorial for various Deep Neural Network visualization techniques

tutorial computer-vision tensorflow sensitivity-analysis interpretable-deep-learning lrp deep-taylor-decomposition
  • Updated Aug 22, 2020
  • Jupyter Notebook

hate-alert / HateXplain

Star 251

Can we use explanations to improve hate speech models? Our paper accepted at AAAI 2021 tries to explore that question.

detection lstm offensive bias hatespeech hate-speech interpretable-deep-learning attention-lstm bert-model explainability bert-fine-tuning
  • Updated Jun 12, 2023
  • Python

ShengcaiLiao / QAConv

Star 220

[ECCV 2020] QAConv: Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting, and [CVPR 2022] GS: Graph Sampling Based Deep Metric Learning

metric-learning temporal-models re-identification image-matching deep-metric-learning person-reidentification person-search interpretability generalization re-id person-recognition person-re-identification correspondence interpretable-deep-learning reid person-reid adaptive-convolution domain-generalization person-retrieval generalizability
  • Updated Jul 9, 2026
  • Python

suinleelab / path_explain

Star 193

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

machine-learning tensorflow pytorch interpretable-deep-learning explainable-ai
  • Updated Jan 16, 2022
  • Jupyter Notebook

pietrobarbiero / pytorch_explain

Star 176

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

Shen-Lab / DeepAffinity

Star 155

Protein-compound affinity prediction through unified RNN-CNN

protein semi-supervised-learning drug-discovery attention-mechanism interpretable-deep-learning
  • Updated Jul 19, 2024
  • Python

Trustworthy-ML-Lab / Label-free-CBM

Star 145

[ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled concept data

deep-neural-networks computer-vision deep-learning interpretability interpretable-deep-learning
  • Updated Apr 7, 2026
  • Jupyter Notebook

yulongwang12 / visual-attribution

Star 145

Pytorch Implementation of recent visual attribution methods for model interpretability

pytorch explanation excitation interpretability saliency interpretable-deep-learning xai visual-explanations model-interpretability excitation-backpropagation patternnet
  • Updated Feb 27, 2020
  • Jupyter Notebook

suinleelab / attributionpriors

Star 128

Tools for training explainable models using attribution priors.

machine-learning tensorflow artificial-intelligence interpretable-deep-learning
  • Updated Mar 19, 2021
  • Jupyter Notebook

laura-rieger / deep-explanation-penalization

Star 126

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

python data-science machine-learning ai deep-learning neural-network jupyter-notebook ml pytorch artificial-intelligence convolutional-neural-network fairness interpretability cdep feature-importance recurrent-neural-network interpretable-deep-learning explainable-ai explainability fairness-ml
  • Updated Mar 22, 2021
  • Jupyter Notebook

hans66hsu / nn_interpretability

Star 120

Pytorch implementation of various neural network interpretability methods

pytorch deepdream saliency-map occlusion-sensitivity smoothgrad guided-backpropagation interpretable-deep-learning lrp gradient-visualization interpretable gradcam deconvnet cnn-visualization deeplift integrated-gradients activation-maximization interpretability-methods uncertainty-interpretability taylor-decomposition nn-interpretability
  • Updated Mar 8, 2022
  • Jupyter Notebook

M-Nauta / ProtoTree

Star 111

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

deep-neural-networks computer-vision pytorch decision-trees interpretability fine-grained-classification interpretable-deep-learning explainable-ai explainable-ml interpretable-machine-learning fine-grained-visual-categorization explainability cvpr2021
  • Updated Jun 30, 2022
  • Python

andreysharapov / xaience

Star 111

All about explainable AI, algorithmic fairness and more

interpretability explainable-artificial-intelligence interpretable-deep-learning interpretable-ai explainable-ai explainable-ml interpretable-machine-learning
  • Updated Sep 24, 2023
  • HTML

wl-zhao / DIML

Star 101

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

computer-vision deep-learning deep-metric-learning interpretable-deep-learning iccv2021
  • Updated Aug 13, 2021
  • Python

atulshanbhag / Layerwise-Relevance-Propagation

Star 97

Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers

visualization deep-learning interpretable-deep-learning interpretable-machine-learning
  • Updated Aug 21, 2018
  • Python

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