There are 3 repositories under feature-visualization topic.
Flexible Feature visualization on PyTorch, for research and art :mag_right: :computer: :brain: :art:
Notebooks for learning about the layers of a convolutional neural network.
Filter visualization, Feature map visualization, Guided Backprop, GradCAM, Guided-GradCAM, Deep Dream
Visualization tool for point cloud and feature extracted from deep learning network
A TensorFlow implementation of Capsule Network as described in the paper Dynamic Routing Between Capsules
Custom Keras Callbacks for Feature Visualization, Class Activation Map, Grad-CAM
Official repository for the paper "How Well do Feature Visualizations Support Causal Understanding of CNN Activations?".
an implementation of Grad-CAM for tensorflowJS
Automatically generate a pdf report containing feature importance, baseline modelling, spurious correlation detection, and more, from a single command line input for any given ML CSV file
[ICCV 2023] Code implementation for "Leaping Into Memories: Space-Time Deep Feature Synthesis"
The model classifies the advertisements by clicked or not-clicked and later identifies zero, low or high conversion rate.
Variational_Autoencode_Feature_Visualization
Programming assignment for UofT ECE421, Fall 2020: CNN Feature Visualization using jax and objax.
Some Class Activation Map methods implemented in Pytorch for CNNs
Visualizing Pneumonia Detection in Chest X-Ray Images: Enhancing Transparency and Understanding with Explainable AI using Grad-CAM and VGG19
A PyTorch implementation of the DeepDream algorithm
Feature map visualization and filter visualization in a deep neural network.
A simple code for visualizing the features in networks, with samples for convenience.
Master's thesis project: Analyzing the learnings of a 3D PointNet