interpretable-deep-learning

Here are 109 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 Mar 18, 2024
Python

frgfm / torch-cam

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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 Apr 26, 2024
Python

kundajelab / deeplift

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Public facing deeplift repo

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

Updated Apr 28, 2022
Python

1202kbs / Understanding-NN

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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

1Konny / gradcam_plus_plus-pytorch

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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

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

Updated Apr 26, 2024

ShengcaiLiao / QAConv

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[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 Jan 3, 2023
Python

suinleelab / path_explain

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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

hate-alert / HateXplain

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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

yulongwang12 / visual-attribution

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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

Shen-Lab / DeepAffinity

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Protein-compound affinity prediction through unified RNN-CNN

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

Updated Oct 29, 2022
Python

pietrobarbiero / pytorch_explain

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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 Mar 18, 2024
Jupyter Notebook

laura-rieger / deep-explanation-penalization

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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