#

interpretable-deep-learning

Here are 73 public repositories matching this topic...

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 Apr 7, 2025
Python

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 Sep 11, 2025
Python

kundajelab / deeplift

Public facing deeplift repo

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

Updated Apr 28, 2022
Python

hate-alert / HateXplain

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

[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

Updated Jan 3, 2023
Python

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

M-Nauta / ProtoTree

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

wl-zhao / DIML

[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

Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers

visualization deep-learning interpretable-deep-learning interpretable-machine-learning

Updated Aug 21, 2018
Python

inouye-lab / ShapleyExplanationNetworks

Implementation of the paper "Shapley Explanation Networks"

machine-learning deep-learning interpretable-deep-learning explainable-ai interpretable-machine-learning iclr2021

Updated Jan 16, 2021
Python

wjNam / Relative_Attributing_Propagation

Interpreting DNNs, Relative attributing propagation

interpretable-deep-learning explainable-ai

Updated Dec 7, 2020
Python

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

PKUAI26 / AT-CNN

Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks

adversarial-example interpretable-deep-learning

Updated Aug 8, 2019
Python

scottgigante / m-phate

Multislice PHATE for tensor embeddings

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

Updated Mar 18, 2021
Python

ryanchankh / redunet_paper

Official NumPy Implementation of Deep Networks from the Principle of Rate Reduction (2021)

deeplearning interpretable-deep-learning

Updated Apr 24, 2021
Python

amirfeder / CausaLM

CausaLM: Causal Model Explanation Through Counterfactual Language Models

nlp causal-inference interpretable-deep-learning

Updated Jun 14, 2020
Python

mims-harvard / TimeX

Time series explainability via self-supervised model behavior consistency

deep-learning time-series transformers time-series-analysis interpretability interpretable-deep-learning explainable-ai explainability

Updated Oct 22, 2023
Python

rakhimovv / tcav

Quantitative Testing with Concept Activation Vectors in PyTorch

pytorch interpretable-deep-learning xai tcav

Updated Mar 18, 2019
Python

jialinwu17 / self_critical_vqa

Code for NeurIPS 2019 paper ``Self-Critical Reasoning for Robust Visual Question Answering''

vqa visual-question-answering interpretable-deep-learning interpretable-ai explainable-ai

Updated Sep 9, 2019
Python

ducminhkhoi / InterpretableCNN

pytorch interpretable-deep-learning

Updated Apr 16, 2018
Python

Improve this page

Add a description, image, and links to the interpretable-deep-learning topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the interpretable-deep-learning topic, visit your repo's landing page and select "manage topics."