DavideScassola
PhD student in Data Science and Artificial Intelligence
UniversitĂ degli studi di TriesteTrieste, Italia
Pinned Repositories
advanced_programming-2018-19
AdvanceProgrammingExam
Advance programmnig's exam repository by Salvatore Milite and Davide Scassola.
calcetto-model
fire
FInancial REinforcement learning
Methylation-project
Information theoretic approach to the study of DNA Methylation
neural-networks-phd-exam
Final project for the neural networks PhD course
PML2024
Repository for the Probabilistic Machine Learning labs/practica (@ UniTS, Spring 2024)
score-based-constrained-generation
Repository of Conditioning Score-Based Generative Models by Neuro-Symbolic Constraints paper
Stocks-particle-filters
Parameters inference and filtering in stocks time series
xai-labs
Laboratories on SHAP and Transformers for the XAI course
DavideScassola's Repositories
DavideScassola/PML2024
Repository for the Probabilistic Machine Learning labs/practica (@ UniTS, Spring 2024)
DavideScassola/score-based-constrained-generation
Repository of Conditioning Score-Based Generative Models by Neuro-Symbolic Constraints paper
DavideScassola/neural-networks-phd-exam
Final project for the neural networks PhD course
DavideScassola/Methylation-project
Information theoretic approach to the study of DNA Methylation
DavideScassola/AdvanceProgrammingExam
Advance programmnig's exam repository by Salvatore Milite and Davide Scassola.
DavideScassola/calcetto-model
DavideScassola/Stocks-particle-filters
Parameters inference and filtering in stocks time series
DavideScassola/xai-labs
Laboratories on SHAP and Transformers for the XAI course
DavideScassola/advanced_programming-2018-19
DavideScassola/AlgorithmicDesignHomeworks
AlgorithmicDesign's course homeworks
DavideScassola/CV_supplement
Additional documents for CV
DavideScassola/fire
FInancial REinforcement learning
DavideScassola/data_analysis_laboratory
Laboratory of data analysys for high school students
DavideScassola/DSSC
This repository includes slides and material for the course of Parallel Programming at the https://dssc.units.it/
DavideScassola/P1.4_seed
Applied Mathematics - Numerical Analysis: An introduction to Scientific Computing
DavideScassola/Score-Entropy-Discrete-Diffusion
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)
DavideScassola/score_sde_pytorch
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
DavideScassola/SML_midi_autoencoder
music generation project with an autoencoder
DavideScassola/unsupervised-learning-assignments
Assignments for the UnsupervisedLearning course (2022/2023)
DavideScassola/wizard-challenge-sft63
Trality Wizard Challenge