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

Visualizing and interpreting features of CNN model

Submission for the Flipkart GRiD 2.0 hackathon under the track "Fashion Intelligence Systems"

Get CLIP ViT text tokens about an image, visualize attention as a heatmap.

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

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

Computational Studies of Adja Magatte Fall Internship

Repo for working on the additional Machine Learning seminar tasks, year 2023-2024.

A simple heuristic optimizer.

Interactive exploration of logistic regression, multinomial classification, and transfer learning using Python and Jupyter Notebooks in the context of data science education.

Machine Learning Problems