A latent text-to-image diffusion model

A game theoretic approach to explain the output of any machine learning model.

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Jupyter Interactive Notebook

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN & HiFi-GAN & StyleMelGAN) with Pytorch

Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

Implementing YOLO using ResNet as the feature extraction network

Deep Q-Learning Applied to Algorithmic Trading

OpenRitardi is the first visualization tool of train delays in Italy. You can see the performance of each station and train, and see where the railway service can be improved. The project showcases…

🧬 Non-linear feature reduction using Deep Autoencoders and Breast Cancer classification.

The objective of this project is to use the following Kaggle dataset (https://www.kaggle.com/datasets/soumikrakshit/anime-faces), in order to generate anime faces using a Deep Convolutional Generat…

Progetti e programmi legati all'università