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
Latent-based Directed Evolution guided by Gradient Ascent for Protein Design
CLIP GUI - XAI app ~ explainable (and guessable) AI with ViT & ResNet models
Submission for the Flipkart GRiD 2.0 hackathon under the track "Fashion Intelligence Systems"
Visualizing and interpreting features of CNN model
Get CLIP ViT text tokens about an image, visualize attention as a heatmap.
Image classifier which classifies MNIST database of handwritten digits 0-9 using 28x28 pixel images
Repo for working on the additional Machine Learning seminar tasks, year 2023-2024.
What do we learn from inverting CLIP models? And what does a CLIP 'see' in an image?
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.
CLIP guiding self towards an image, from text prompt
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