GitHub topics: guided-backpropagation
utkuozbulak/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
Language: Python - Size: 7.66 MB - Last synced at: 6 days ago - Pushed at: 5 months ago - Stars: 8,019 - Forks: 1,497

ashutosh1919/explainable-cnn
📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
Language: Python - Size: 3.99 MB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 229 - Forks: 34

kazuto1011/grad-cam-pytorch
PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)
Language: Python - Size: 42.6 MB - Last synced at: 10 days ago - Pushed at: over 5 years ago - Stars: 795 - Forks: 168

TooTouch/WhiteBox-Part1
In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)
Language: Jupyter Notebook - Size: 296 MB - Last synced at: 15 days ago - Pushed at: about 5 years ago - Stars: 39 - Forks: 16

kundajelab/deeplift
Public facing deeplift repo
Language: Python - Size: 10.7 MB - Last synced at: 28 days ago - Pushed at: about 3 years ago - Stars: 852 - Forks: 168

hummat/saliency
PyTorch implementation of 'Vanilla' Gradient, Grad-CAM, Guided backprop, Integrated Gradients and their SmoothGrad variants.
Language: Jupyter Notebook - Size: 9.83 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 19 - Forks: 3

ChristianOrr/feature-attribution-methods-jax
Suite of methods that create attribution maps from image classification models.
Language: Jupyter Notebook - Size: 1.72 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 6 - Forks: 1

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...
Language: Python - Size: 2.25 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 695 - Forks: 165

hans66hsu/nn_interpretability
Pytorch implementation of various neural network interpretability methods
Language: Jupyter Notebook - Size: 30.5 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 104 - Forks: 19

Jasonlee1995/guided_backpropagation
Unofficial Pytorch implementation of guided backpropagation
Language: Jupyter Notebook - Size: 1.89 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

hnguyentt/GradCAM_and_GuidedGradCAM_tf2
Implementation of GradCAM & Guided GradCAM with Tensorflow 2.x
Language: Jupyter Notebook - Size: 116 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 21 - Forks: 5

Berry-Wu/Visualization
visualization:filter、feature map、attention map、image-mask、grad-cam、human keypoint、guided-backpro
Language: Python - Size: 6.62 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 52 - Forks: 4

justinliu23/covid19-diagnosis
AI for COVID-19
Language: Jupyter Notebook - Size: 280 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

swapnil-ahlawat/Guided-GradCAM-Keras
Implementation of Guided GradCAM in Keras
Language: Jupyter Notebook - Size: 467 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 2

conan7882/CNN-Visualization
TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propagation
Language: Python - Size: 27 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 197 - Forks: 43

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
Language: Python - Size: 39 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 7 - Forks: 3

hnguyentt/cnn-visualization-keras-tf2
Filter visualization, Feature map visualization, Guided Backprop, GradCAM, Guided-GradCAM, Deep Dream
Language: Jupyter Notebook - Size: 49.2 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 25 - Forks: 5

SGLKhanhChung/XAI-menthod-Guided-Backpropagation
Language: Jupyter Notebook - Size: 42.4 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

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++.
Language: Python - Size: 90.4 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 48 - Forks: 5

KimRass/explainable_ai
Computer vision visualization such as Grad-CAM, etc.
Language: Python - Size: 73.2 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

susannapaoli/network-visualization-and-style-transfer
Model visualization and style transfer
Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

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.
Language: Jupyter Notebook - Size: 23.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 6 - Forks: 6

weilinie/BackpropVis
Part of the experiments in "A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations"
Language: Python - Size: 775 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 0

MahanFathi/UnsupervisedObjectDetection
Use your classification neural network for object detection and localization
Language: Python - Size: 38.1 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 16 - Forks: 2
