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
Generative deep learning: DeepDream
CLIP GUI - XAI app ~ explainable (and guessable) AI with ViT & ResNet models
Get CLIP ViT text tokens about an image, visualize attention as a heatmap.
Visualizing and interpreting features of CNN model
Submission for the Flipkart GRiD 2.0 hackathon under the track "Fashion Intelligence Systems"
Repository for machine learning problems implemented in python
Numerical Optimization using "hill climbing" (aka Gradient Ascent)
Image classifier which classifies MNIST database of handwritten digits 0-9 using 28x28 pixel images
A user-friendly web application built with Streamlit that offers personalized movie recommendations based on user ratings using a baseline predictive model and RBM neural network
Use CLIP to create matching texts + embeddings for given images; useful for XAI, adversarial training
Simple example notebooks using PyTorch
This repository hosts the programming exercises for the course "Machine Learning" of AUEB Informatics.
What do we learn from inverting CLIP models? And what does a CLIP 'see' in an image?
Base R Implementation of Logistic Regression from Scratch with Regularization, Laplace Approximation and more
Choose which data to make your model forget (Unlearn!), but watch out - every deletion ripples!
Computational Studies of Adja Magatte Fall Internship
Repo for working on the additional Machine Learning seminar tasks, year 2023-2024.
A simple heuristic optimizer.
Add a description, image, and links to the gradient-ascent topic page so that developers can more easily learn about it.
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