itwinai - AI on cloud and HPC made simple for science
itwinai is a python toolkit developed in the interTwin project to support large-scale Digital Twin applications in science.
Portfolio
Hands-on lecture - Introduction to Reinforcement Learning
Lecture materials and exercises on MDP, SARSA, Q-learning, and Deep RL (DQN) using Gymnasium.
Energy Based Modeling with Maximum Likelihood esimation
Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and implement EBMs as generative models, comparing the results obtained with Maximum Likelihood estimation and Sliced Score Matching on MNIST and a toy 2D dataset.
Graph Convolutional Networks for Anomaly Detection in Financial Graphs
In this project I carried out at EURECOM university I deeply delve into the theory of Graph Convolutional Networks and explore solutions for anomaly detection on huge financial graphs.
RGB-D Domain Adaptation for Object Recognition
Self-supervised Domain Adaptation between real and synthetic (generated) RGB-D images for robotic vision.
Web application for daily updates on covid19
Angular web app for daily Covid updates visualization, hosted on Google Cloud platform.