Pytorch implementation of convolutional neural network adversarial attack techniques
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Updated
Dec 3, 2018 - Python
Pytorch implementation of convolutional neural network adversarial attack techniques
Submission for the Flipkart GRiD 2.0 hackathon under the track "Fashion Intelligence Systems"
Visualizing and interpreting features of CNN model
Image classifier which classifies MNIST database of handwritten digits 0-9 using 28x28 pixel images
Like Golden Gate Claude, but with a CLIP Vision Transformer ~ feature activation manipulation fun!
Gradient ascent and simulated annealing optimization algorithms for multivariate Gaussian space from scratch.
Repo for working on the additional Machine Learning seminar tasks, year 2023-2024.
CLIP guiding self towards an image, from text prompt
Latent-based Directed Evolution guided by Gradient Ascent for Protein Design
Get CLIP ViT text tokens about an image, visualize attention as a heatmap.
What do we learn from inverting CLIP models? And what does a CLIP 'see' in an image?
CLIP GUI - XAI app ~ explainable (and guessable) AI with ViT & ResNet models
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