alessandropaticchio Goto Github PK

alessandropaticchio.github.io

artificial-neural-networks-labs

Container of all the homeworks for Artificial Neural Networks course at Chalmers

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

breanna

A Python implementation of a tool to manage advertising campaign data and build Machine Learning models on them

cartpole-dqn

This repository contains Pytorch code to train a Deep Q-Learning network that learns to balance a CartPole.

configuration-service

A Python implementation of a configuration service, accessible via HTTP API

covid-19

COVID-19 Italia - Monitoraggio situazione

covid-20

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

dmtm_2018-sales-prediction

A bunch of Python notebooks we used for our Data Mining and Text Mining project

fake-news-detector

A Deep Learning pipeline to train a fake news detector

from_potential_to_rays

A Deep Learning research project whose aim was to predict the emergence of caustics given their original potential

improving-transfer-learning

My Master's thesis in Computer Engineering at Politecnico di Milano, developed at Harvard University. Improving domain-specific transfer learning for image recognition and differential equations.

lorenzo-il-magnifico

Java implementation of board Game "Lorenzo il Magnifico"

netflixgpt_recommender

This is an application that recommends something to watch on Netflix based on your mood. It's built with LangChain, OpenAI GPT3.5, and Milvus, a vector database.

neural_style_transfer

A Pytorch implementation of the paper A Neural Algorithm of Artistic Style by Gatys et al.

paper-summarizer

A Llama-2 based bot that helps retrieve the summary of research papers similar to the user's input query. Built with Llama.cpp, Langchain and Milvus DB.

parameters_estimation

pottergpt

This repository contains an educational project I built in order to learn how LLMs works. I rewrote GPT from scratch and trained it on the 1st book of the Harry Potter's saga.

replicated-data-storage

semi_supervised_nn_for_covid19

In this work, we study the spread of COVID-19 using a semi-supervised neural network and assuming a passive part of the population remains isolated from the virus dynamics. We applied a novel method do solve differential equations with Neural Networks.

stopwords-it

Italian stopwords collection

vae_potential_flow

A Pytorch implementation of the paper A Neural Algorithm of Artistic Style by Gatys et al.