Giuseppe Concialdi's Projects
About Implementation of AdaptSegNet for the Machine Learning and Deep Learning Course @ Politecnico di Torino
Audio generation using diffusion models, in PyTorch.
Implementation of BiSeNet for the Machine Learning and Deep Learning Course @ Politecnico di Torino
Code for BiseNetV1
Repository for Benchmarking Causal Discovery Algorithms on Medical Data. Class project for CS520 Causal Inference and Learning @ UIC
This repository contains a project for real time domain-adaptation in semantic segmentation for the course of Machine Learning and Deep Learning @ Politecnico di Torino
The codes for ACL2022 paper βCQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation
Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"
In questo repository sono presenti i datasets, i grafici e il file R Markdown utilizzati nella tesi di laurea triennale "La digitalizzazione del mercato dell'arte: Blockchain, NFT e CryptoArt" di Martina Moscato (UniversitΓ Ca'Foscari)
This repositories contains all the materials and the supports used to perform a Sentiment Analysis Classification on Twitter's tweets. This project was part of a competion of the Data Science Lab course - Politecnico di Torino.
State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.
This repository contains the implementation of the project: "Controlling DDPMs and VAEs through EBMs" for the Deep Generative Models class @ UIC
A new play-and-plug method of controlling an existing generative model with conditioning attributes and their compositions.
Latex code for making neural networks diagrams