Flexible Feature visualization on PyTorch, for research and art 🔎 💻 🧠 🎨
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Updated
May 6, 2024 - Python
Flexible Feature visualization on PyTorch, for research and art 🔎 💻 🧠 🎨
Filter visualization, Feature map visualization, Guided Backprop, GradCAM, Guided-GradCAM, Deep Dream
machine learning
A simple code for visualizing the features in networks, with samples for convenience.
[ICCV 2023] Code implementation for "Leaping Into Memories: Space-Time Deep Feature Synthesis"
Visualizing Pneumonia Detection in Chest X-Ray Images: Enhancing Transparency and Understanding with Explainable AI using Grad-CAM and VGG19
An interpretability library for pytorch
A PyTorch implementation of the DeepDream algorithm
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
Some Class Activation Map methods implemented in Pytorch for CNNs
The model classifies the advertisements by clicked or not-clicked and later identifies zero, low or high conversion rate.
Master's thesis project: Analyzing the learnings of a 3D PointNet
Official repository for the paper "How Well do Feature Visualizations Support Causal Understanding of CNN Activations?".
Visualization tool for point cloud and feature extracted from deep learning network
Programming assignment for UofT ECE421, Fall 2020: CNN Feature Visualization using jax and objax.
Custom Keras Callbacks for Feature Visualization, Class Activation Map, Grad-CAM
Feature map visualization and filter visualization in a deep neural network.
A TensorFlow implementation of Capsule Network as described in the paper Dynamic Routing Between Capsules
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