ai_tools

airbnb-search-engine

Analyzing the text of Airbnb property listings and building search engines.

aleflabo

aleflabo.github.io

bayesian-linear-regression

Bayesian analysis on some real data, with the use of MCMC simulations within the OpenBUGS software.

bestpractices2body

The official PyTorch implementation of the 5th IEEE/CVF CVPR Precognition Workshop paper Best Practices for 2-Body Pose Forecasting.

cladag2019-competition

closerlookfewshot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

find_duplicate_bibtex_ref

Jupyter notebook that serves as a tool for identifying duplicate BibTeX items within a reference file.

hypad

The official PyTorch implementation of the IEEE/CVF CVPR Visual Anomaly and Novelty Detection (VAND) Workshop paper Are we certain it's anomalous?.

hyper-vocabulary-free-classification

mocodad

The official PyTorch implementation of the IEEE/CVF International Conference on Computer Vision (ICCV) '23 paper Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection.

paperbadger

Issuing badges to credit authors for their work on academic papers

prego

The official PyTorch implementation of the IEEE/CVF Computer Vision and Pattern Recognition (CVPR) '24 paper PREGO: online mistake detection in PRocedural EGOcentric videos.

scraping-immobiliare.it

Scraping the Immobiliare.it site and clustering the information

stats-under-the-stars-2019

Partecipation at SUS2019 Hackathon in Milan at the Bocconi University. Awarded as the team which best performed using SAS software and platform.

street-classification

Statistical Learning project. The team followed all the processes, from the data collection to the data preprocessing and the classification.

wikipedia-hyperlinks-analysis

The goal of this project is to perform an analysis of the Wikipedia Hyperlink graph and, in particular, to rank the articles within the categories according to some criteria and using NetworkX.

yellow-taxis-anlysis-in-ny-city

This analysis tries to point out some interresting informations about all the rides made in the first semester of 2018. The work concentrats both in the whole NY city and in the single zones.