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 🔎 💻 🧠 🎨
Notebooks for learning about the layers of a convolutional neural 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
Filter visualization, Feature map visualization, Guided Backprop, GradCAM, Guided-GradCAM, Deep Dream
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
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.
object detection
The model classifies the advertisements by clicked or not-clicked and later identifies zero, low or high conversion rate.
Feature map visualization and filter visualization in a deep neural network.
[ICCV 2023] Code implementation for "Leaping Into Memories: Space-Time Deep Feature Synthesis"
machine learning
A PyTorch implementation of the DeepDream algorithm
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