interpretable-deep-learning

Star

Here are 136 public repositories matching this topic...

Language:All

Filter by language

All136 Python75 Jupyter Notebook42 HTML2 TeX2 C++1 JavaScript1 Lua1 Mathematica1 MATLAB1 Shell1

Sort:Most stars

Sort options

Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

jacobgil /pytorch-grad-cam

Star12.5k

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

UpdatedApr 7, 2025
Python

frgfm /torch-cam

Sponsor

Star2.3k

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)

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

UpdatedDec 15, 2025
Python

kundajelab /deeplift

Star873

Public facing deeplift repo

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

UpdatedApr 28, 2022
Python

1Konny /gradcam_plus_plus-pytorch

Star395

A Simple pytorch implementation of GradCAM and GradCAM++

interpretable-deep-learning gradcam cnn-visualization gradcam-plus-plus

UpdatedApr 23, 2019
Jupyter Notebook

MinghuiChen43 /awesome-trustworthy-deep-learning

Star377

A curated list of trustworthy deep learning papers. Daily 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

UpdatedDec 7, 2025

1202kbs /Understanding-NN

Star346

Tensorflow tutorial for various Deep Neural Network visualization techniques

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

UpdatedAug 22, 2020
Jupyter Notebook

hate-alert /HateXplain

Star228

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

UpdatedJun 12, 2023
Python

ShengcaiLiao /QAConv

Star216

[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

UpdatedJan 3, 2023
Python

suinleelab /path_explain

Star192

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

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

UpdatedJan 16, 2022
Jupyter Notebook

pietrobarbiero /pytorch_explain

Star164

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

UpdatedMay 16, 2024
Jupyter Notebook

Shen-Lab /DeepAffinity

Star151

Protein-compound affinity prediction through unified RNN-CNN

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

UpdatedJul 19, 2024
Python

yulongwang12 /visual-attribution

Star146

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

UpdatedFeb 27, 2020
Jupyter Notebook

laura-rieger /deep-explanation-penalization

Star128

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