lorenzobalzani/nlp-dl-experiments

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lorenzobalzani/nlp-dl-experiments

lorenzobalzani

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Python implementation of Deep Learning models, with a focus on NLP.

auto-editing

Auto edit (e.g. cut) video files by leveraging gesture recognition

lorenzobalzani

advanced_rag

This repo houses experimental projects inspired by insights from the course 'Building and Evaluating Advanced RAG Applications' offered by DeepLearning.AI

Bug-Tracker

Bug Tracker for SWE built with React

lorenzobalzani.github.io

This repository houses the code for my personal portfolio website. The website features a blog section, my professional resume, and a contact form for reaching out to me. Explore my online presence and get in touch!

bayesian-network-credit-cards

The objective of this study is to explore the impact of the structure of a Bayesian Network on its overall run-time, potential unwanted bias, and accuracy in performing a classification task. A credit card default dataset was utilised to construct six networks with varying structures and to learn their conditional probability distributions.

Jupyter Notebook

nlp_projects

This repository contains assignments, the final course project, and the project work assigned for the Natural Language Processing (NLP) course within the Artificial Intelligence Master's program.

Jupyter Notebook

DB-Benchmarks

PostgreSQL benchmarks

bio-ee-egv

[COLING22] Text-to-Text Extraction and Verbalization of Biomedical Event Graphs

neural-subgraph-retrieval

PyTorch module that generates a subgraph originating from the UMLS Knowledge Graph (KG) when presented with a biomedical question (from MedQA). It utilizes Language Models (LMs) to solve the next relation prediction task and graph node embedding to infer the tail given a head and the predicted relation, essentially performing link prediction.

image_deblurring

Image Deblurring Using a Convolutional Neural Network (CNN) on the MNIST Dataset.

Jupyter Notebook