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This project implements a Transformer model from scratch using PyTorch, achieving over 80% accuracy on a selected dataset. It includes data preprocessing, model construction, training, and optimization techniques to enhance performance.
This project is a web application that recommends recipes based on the ingredients provided by the user. It utilizes machine learning techniques to suggest recipes that match the input ingredients, providing users with personalized cooking ideas.
The goal of this repository is to define a way to align topic extraction from latent dirichlet allocation with predefined topics whose vocabulary is created on the fly with an LLM.