accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

air_pollution_data_visualization_tableau

Data Analysis & Visualization: Air quality in the agglomeration of Milan

competitive-pokemon-graph-database

Data Acquisition and Modeling: Graph database containing information related to competitive Pokémon videogames, scraped from various sources

computer-science-project

Simple data processing w/ Pandas

coswara-data

Data repository of Project Coswara

covid-19-detection-using-cough-recordings

COVID-19 detection using Cough recordings

cxr-acgan-chest-xray-generator-covid19-pneumonia

CXR-ACGAN: Auxiliary Classifier GAN (AC-GAN) for Chest X-Ray (CXR) Images Generation (Pneumonia, COVID-19 and healthy patients) for the purpose of data augmentation. Implemented in TensorFlow, trained on COVIDx CXR-3 dataset.

dataviz_proms_score

Can the physical and mental condition of a patient depend on external factors? Atmospheric conditions, light, humidity and temperature can affect the satisfaction of patients for the surgery they underwent? Let’s find out with the data at our disposal.

generative-ai-for-image-captioning-evaluation

Master's Thesis work

gianluca124

gianluca124.github.io

Check out my portfolio at https://gianluca124.github.io

gis-project-sea-surface-temperature-ice-concentration-analysis

Analysis on Sea Surface Temperature and Ice Concentration data

knime_classification_credit-card-fraud-detection

Use of different classification models to detect credit card frauds

mapr-exam-exercise

Exam exercises for the Big Data Management and Analysis in Physics Research course

restaurant-revenue-loss-covid-retrospective-analysis

Time Series Analysis and Forecasting (using ARIMA, UCM and Random Forest models) of a restaurant's revenue during the first lockdown of the COVID-19 pandemic in Italy, to estimate the loss incurred.

sdmtsa---electricity-consumption-forecasting

Electricity consumption forecasting with ARIMA, UCM and Machine Learning models

textmining_amazonfinefoods

Text classification and Text clustering techniques on the Amazon Fine Food Reviews dataset

word-embedding-italian-literature

Using distibuctional semantics (word2vec family algorithms and the CADE framework) to learn word embeddings from the Italian literary corpuses we generated.