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GitHub topics: cnn-visualization

utkuozbulak/pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

Language: Python - Size: 7.66 MB - Last synced at: 4 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: 4 days ago - Pushed at: over 1 year ago - Stars: 229 - Forks: 34

fitushar/3D-GuidedGradCAM-for-Medical-Imaging

This Repo containes the implemnetation of generating Guided-GradCAM for 3D medical Imaging using Nifti file in tensorflow 2.0. Different input files can be used in that case need to edit the input to the Guided-gradCAM model.

Language: Python - Size: 614 KB - Last synced at: 14 days ago - Pushed at: almost 5 years ago - Stars: 105 - Forks: 8

haofanwang/Score-CAM

Official implementation of Score-CAM in PyTorch

Language: Python - Size: 2.22 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 412 - Forks: 65

fitushar/3D-Grad-CAM

This repo contains Grad-CAM for 3D volumes.

Language: Jupyter Notebook - Size: 643 KB - Last synced at: 24 days ago - Pushed at: over 4 years ago - Stars: 79 - Forks: 13

dudeperf3ct/DL_Notebooks

This repo contains all the notebooks mentioned in blog.

Language: Jupyter Notebook - Size: 106 MB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 92 - Forks: 32

LLNL/fastcam

A toolkit for efficent computation of saliency maps for explainable AI attribution. This tool was developed at Lawrence Livermore National Laboratory.

Language: Jupyter Notebook - Size: 20.8 MB - Last synced at: 17 days ago - Pushed at: over 4 years ago - Stars: 45 - Forks: 6

astrumai/radnet

U-Net for biomedical image segmentation

Language: Python - Size: 251 MB - Last synced at: 6 days ago - Pushed at: almost 4 years ago - Stars: 12 - Forks: 3

reshalfahsi/3d-viz-score-cam

Visualizing 3D ResNet for Medical Image Classification With Score-CAM

Language: Jupyter Notebook - Size: 7.06 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

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

1Konny/gradcam_plus_plus-pytorch

A Simple pytorch implementation of GradCAM and GradCAM++

Language: Jupyter Notebook - Size: 10.9 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 312 - Forks: 87

RGivisiez/ML-Ising

Machine learning and the Ising model phase transition.

Language: Jupyter Notebook - Size: 1.77 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 7 - Forks: 1

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

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

Animadversio/ActMax-Optimizer-Dev

The official repo for GECCO 2022 paper High-Performance Evolutionary Algorithms for Online Neuronal Control in vivo and in silico

Language: Python - Size: 10.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 4

vaynexie/CWOX

A XAI Framework to provide Contrastive Whole-output Explanation for Image Classification.

Language: Jupyter Notebook - Size: 117 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 0

ellolo/visual-keras

Visualization techiques for deep learning neural networks using Keras

Language: Jupyter Notebook - Size: 37.1 MB - Last synced at: about 1 month ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 2

alejandrodebus/Pytorch-Utils

Useful functions to work with PyTorch. At the moment, there is a function to work with cross validation and kernels visualization.

Language: Python - Size: 3.91 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 68 - Forks: 14

cyberneuron/RT-CNN-Vis

A Platform for Real Time CNN Visualization

Language: Python - Size: 29.7 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 50 - Forks: 11

justinbellucci/cnn-visualizations-pytorch

Exploration of various methods to visualize layers of deep Convolutional Neural Networks using Pytorch.

Language: Jupyter Notebook - Size: 25 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 18 - Forks: 1

anaramirli/visualizing-cnn-features

Visualizing higher-layer features from a Deep Convolutional Network by maximizing filter activation.

Language: Jupyter Notebook - Size: 31.7 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

WangRongsheng/cnn-visualization

卷积神经网络(CNN)从卷积层到池化层可视化演示

Language: C# - Size: 626 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 2

zzmtsvv/ml_sandbox

Language: Jupyter Notebook - Size: 422 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

fortunechen/grad_cam-mxnet

Grad-CAM by MXNet

Language: Python - Size: 92.8 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 0

au1206/visualizing-my-CNN

a notebook to visualise the convolutional filter for image classification

Language: Jupyter Notebook - Size: 31.3 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

gordon-lim/Visualising-Conv2D-Pokemon-

Visualizing convolutional layer output of a pokemon image for Udacity's Computer Vision Nanodegree!

Language: Jupyter Notebook - Size: 68.4 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

sthanhng/CNN-Visualization

This repo discovers how to develop simple visualizations for filters and feature maps in a Convolutional Neural Network

Language: Python - Size: 11.7 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 0

XiaoJiNu/netron Fork of lutzroeder/netron

Visualizer for neural network, deep learning and machine learning models

Size: 21.6 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

XiaoJiNu/cnn-explainer Fork of poloclub/cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/

Size: 85.4 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 1

bourcierj/rdfia-tme9-visu-nn

Language: Jupyter Notebook - Size: 9.73 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

ieee820/pytorch-cnn-visualizations Fork of utkuozbulak/pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

Language: Python - Size: 5.51 MB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

Related Keywords
cnn-visualization 31 pytorch 10 cnn 9 grad-cam 8 gradcam 6 saliency 6 explainable-ai 5 cnn-visualization-technique 5 guided-grad-cam 5 guided-backpropagation 5 deep-learning 4 gradient-visualization 4 visualization 4 saliency-map 4 visual-explanations 3 tensorflow2 3 explainability 3 activation-maximization 3 keras 3 image-classification 2 3d 2 xai 2 saliency-maps 2 deepdream 2 style-transfer 2 mlp 2 interpretable-deep-learning 2 gcam 2 gradcam-plus-plus 2 score-cam 2 gradient-free 2 machine-learning 2 filter-visualization 2 cam 2 smooth-grad 2 medical-imaging 2 segmentation 2 3d-models 2 keras-tensorflow 1 tf2 1 2d 1 guidedgradcam 1 cmaes 1 evolutionary-algorithms 1 neuroscience 1 optimization 1 lime 1 mwp 1 rise 1 deep-neural-networks 1 imagenet 1 feature-visualization 1 demos 1 phase-transition 1 nn 1 deep-dream 1 gradient 1 ising-nn 1 ising-model-2d 1 ising-cnn 1 uncertainty-interpretability 1 taylor-decomposition 1 smoothgrad 1 occlusion-sensitivity 1 nn-interpretability 1 class-visualization 1 adversarial-examples 1 vgg16 1 filters 1 feature-map 1 convolutional-neural-networks 1 udacity-nanodegree 1 mxnet 1 vq-vae 1 variational-autoencoder 1 ucb1 1 spectral-normalization 1 self-organizing-map 1 self-normalizing-neural-networks 1 regression 1 knearest-neighbor-algorithm 1 gradient-boosting 1 gan 1 diffusion-models 1 cyclegan 1 classification 1 calibration 1 cnn-filters 1 cnn-architecture 1 tensorflow 1 neural-networks 1 python 1 cross-validation 1 keras-visualization 1 interpretability 1 demo 1 transfer-learning-nlp 1 transfer-learning 1 tensorflow-tutorials 1 3d-guided-grad-cam 1