guided-backpropagation

There are 8 repositories under guided-backpropagation topic.

utkuozbulak / pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
cam cnn-visualization deep-dream grad-cam gradient gradient-visualization guided-backpropagation guided-grad-cam pytorch saliency segmentation smooth-grad
Language:Python 7912
kundajelab / deeplift
Public facing deeplift repo
deeplift guided-backpropagation integrated-gradients interpretability interpretable-deep-learning saliency-map sensitivity-analysis
Language:Python 839
kazuto1011 / grad-cam-pytorch
PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)
pytorch grad-cam visualization occlusion-sensitivity guided-backpropagation deconvnet
Language:Python 792
yizt / Grad-CAM.pytorch
pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...
cam faster-r-cnn-grad-cam grad-cam guided-backpropagation model-interpretability retinanet-grad-cam
Language:Python 737
explainable-cnn
ashutosh1919 / explainable-cnn
📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
cnn cnn-classification cnn-pytorch cnn-visualization cnn-visualization-technique explainable-ai explainable-ml grad-cam grad-cam-visualization guided-backpropagation guided-grad-cam pytorch pytorch-implementation saliency-detection saliency-map visualization
Language:Python 220
conan7882 / CNN-Visualization
TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propagation
class-activation-maps cnn computer-vision deep-learning grad-cam guided-backpropagation tensorfl visualization
Language:Python 198
hans66hsu / nn_interpretability
Pytorch implementation of various neural network interpretability methods
pytorch lrp cnn-visualization interpretable-deep-learning interpretable saliency-map deepdream guided-backpropagation integrated-gradients smoothgrad activation-maximization deconvnet occlusion-sensitivity deeplift gradcam gradient-visualization interpretability-methods uncertainty-interpretability taylor-decomposition nn-interpretability
Language:Jupyter Notebook 112
Berry-Wu / Visualization
visualization：filter、feature map、attention map、image-mask、grad-cam、human keypoint、guided-backpro
convolutional-neural-networks filter pytorch visaul attention mae mask cam gradcam heatmap-visualization human-pose-estimation guided-backpropagation
Language:Python 101
Karol-G / Gcam
Gcam is an easy to use Pytorch library that makes model predictions more interpretable for humans. It allows the generation of attention maps with multiple methods like Guided Backpropagation, Grad-Cam, Guided Grad-Cam and Grad-Cam++.
pytorch gradcam gradcam-plus-plus grad-cam guided-backpropagation guidedgradcam visualization saliency cnn-visualization guided-grad-cam segmentation 2d 3d medical-imaging gradient-visualization gcam
Language:Python 49
TooTouch / WhiteBox-Part1
In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)
explainable-ai deep-learning saliency-map interpretable-ai blackbox smoothgrad gradients backpropagation evaluate-models computer-vision machine-learning grad-cam guided-backpropagation integrated-gradients mnist cifar-10
Language:Jupyter Notebook 40
hnguyentt / cnn-visualization-keras-tf2
Filter visualization, Feature map visualization, Guided Backprop, GradCAM, Guided-GradCAM, Deep Dream
cnn-visualization filter-visualization gradcam deepdream feature-visualization guided-backpropagation guided-grad-cam tf2 keras-tensorflow demos
Language:Jupyter Notebook 27
hnguyentt / GradCAM_and_GuidedGradCAM_tf2
Implementation of GradCAM & Guided GradCAM with Tensorflow 2.x
gradcam guided-backpropagation tensorflow2 keras-tensorflow visualization guided-grad-cam demo
Language:Jupyter Notebook 26
hummat / saliency
PyTorch implementation of 'Vanilla' Gradient, Grad-CAM, Guided backprop, Integrated Gradients and their SmoothGrad variants.
deep-learning deep-neural-networks grad-cam smoothgrad saliency integrated-gradients guided-backpropagation xrai pytorch machine-learning machine-learning-algorithms deep-learning-algorithms
Language:Jupyter Notebook 19
MahanFathi / UnsupervisedObjectDetection
Use your classification neural network for object detection and localization
neural-networks convolutional-neural-networks image-classification image-detection vgg16 tsne tsne-plot guided-backpropagation network-visualization object-localization python tensorflow
Language:Python 16
daniel-rychlewski / Cao-Keras-Visualization
Neural network visualization tool after an optional model compression with parameter pruning: (integrated) gradients, guided/visual backpropagation, activation maps for the cao model on the IndianPines dataset
neural-network python band-selection hyperspectral-image-classification indianpines hyperspectral-imaging cao convolutional-neural-networks keras tensorflow keras-vis deep-viz deep-visualization saliency-maps activation-maps backpropagation integrated-gradients guided-backpropagation visual-backpropagation gradients
Language:Python 8
NiteshMethani / Deep-Learning-CS7015
This repository contains all my theroy reports, written assignments and programming code that I wrote/referrd for the DL course at IIT,Madras taught my advisor Prof.Mitesh Khapra.
iit theroy-reports dl-course cnn rnn seq2seq rbm backprop word2vec lstm guided-backpropagation
Language:Jupyter Notebook 8
weilinie / BackpropVis
Part of the experiments in "A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations"
deconvolutional-network explainable-ai guided-backpropagation neural-network-visualizations saliency-map tensorflow
Language:Python 7
ChristianOrr / feature-attribution-methods-jax
Suite of methods that create attribution maps from image classification models.
cam deconvolution grad-cam gradients-attribution gradients-x-inputs guided-backpropagation guided-grad-cam integrated-gradients xai
Language:Jupyter Notebook 6
swapnil-ahlawat / Guided-GradCAM-Keras
Implementation of Guided GradCAM in Keras
guided-grad-cam gradcam guided-backpropagation keras-tensorflow
Language:Jupyter Notebook 6
KimRass / explainable_ai
Computer vision visualization such as Grad-CAM, etc.
class-activation-map deconvnet grad-cam guided-backpropagation
Language:Python 2
jmdudek / class-activation-mapping
CAM, Grad-CAM, Grad-CAM++ and Guided Backpropagation post-hoc explanation methods
cam class-activation-mapping explainable-ai grad-cam guided-backpropagation guided-grad-cam post-hoc-explanation grad-cam-plusplus guided-grad-cam-plusplus
Language:Jupyter Notebook 1
justinliu23 / covid19-diagnosis
AI for COVID-19
computer-vision deep-learning covid-19 grad-cam convolutional-neural-networks guided-backpropagation research-and-development tensorflow keras nibabel numpy computed-tompography
Language:Jupyter Notebook 0
Jasonlee1995 / guided_backpropagation
Unofficial Pytorch implementation of guided backpropagation
guided-backpropagation pytorch pytorch-implementation
Language:Jupyter Notebook
SGLKhanhChung / XAI-menthod-Guided-Backpropagation
guided-backpropagation xai
Language:Jupyter Notebook

guided-backpropagation

utkuozbulak / pytorch-cnn-visualizations

kundajelab / deeplift

kazuto1011 / grad-cam-pytorch

yizt / Grad-CAM.pytorch

ashutosh1919 / explainable-cnn

conan7882 / CNN-Visualization

hans66hsu / nn_interpretability

Berry-Wu / Visualization

Karol-G / Gcam

TooTouch / WhiteBox-Part1

hnguyentt / cnn-visualization-keras-tf2

hnguyentt / GradCAM_and_GuidedGradCAM_tf2

hummat / saliency

MahanFathi / UnsupervisedObjectDetection

daniel-rychlewski / Cao-Keras-Visualization

NiteshMethani / Deep-Learning-CS7015

weilinie / BackpropVis

ChristianOrr / feature-attribution-methods-jax

swapnil-ahlawat / Guided-GradCAM-Keras

KimRass / explainable_ai

jmdudek / class-activation-mapping

justinliu23 / covid19-diagnosis

Jasonlee1995 / guided_backpropagation

SGLKhanhChung / XAI-menthod-Guided-Backpropagation