Feature map visualization and filter visualization in a deep neural network.
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Updated
Dec 19, 2020 - Jupyter Notebook
Feature map visualization and filter visualization in a deep neural network.
machine learning
A PyTorch implementation of the DeepDream algorithm
A simple code for visualizing the features in networks, with samples for convenience.
Master's thesis project: Analyzing the learnings of a 3D PointNet
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
The model classifies the advertisements by clicked or not-clicked and later identifies zero, low or high conversion rate.
[ICCV 2023] Code implementation for "Leaping Into Memories: Space-Time Deep Feature Synthesis"
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
object detection
an implementation of Grad-CAM for tensorflowJS
Official repository for the paper "How Well do Feature Visualizations Support Causal Understanding of CNN Activations?".
An interpretability library for pytorch
Custom Keras Callbacks for Feature Visualization, Class Activation Map, Grad-CAM
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