valinsogna
MSc in Data Science and Scientific Computing @ University of Trieste | Bs in Physics @ University of Milan | NLP
University of TriesteTrieste, IT
Pinned Repositories
DL_diffusion_model
A diffusion model implementation for the Deep Learning Curse at Units
GPTGram
Python Telegram chatbot API using generative pretraining transformers
2021Assignement01
MPI programs exploring parallel computing techniques. It implements a message-passing ring topology, benchmarks point-to-point MPI performance, and studies various computational tasks like the Jacobi solver and 3D matrix operations. The repo evaluates performance across different topologies, networks, and nodes, using OpenMPI and IntelMPI
2021Assignement02
Parallel implementation of kd-tree construction using MPI & OpenMP. Features include efficient data point generation, tree visualization, scalability tests, and performance optimizations. Aims to address challenges like false sharing & workload imbalances.
AutoMLP-GA
Automates the optimization of Multi-Layer Perceptrons using Genetic Algorithms in PyTorch for classification on MNIST dataset
FiniteDiffPDESolver
An insightful collection of finite difference methods to solve elliptic PDEs. This repository provides interactive exercises, from basic grid generation to advanced boundary value problem solutions, using forward Euler methods. Dive in to explore and understand the dynamics of PDEs through hands-on tasks.
GovTaxOptimal_RL
RL framework designed to simulate and optimize government taxation policies. Focused on balancing economic equality and consumption, it employs state-of-the-art RL algorithms, PPO and SAC, to navigate wealth taxation strategies across various economic scenarios, aiming to achieve optimal wealth distribution and economic efficiency.
HeadachePredictor-HMM
Predicting headache occurrences using Hidden Markov Models (HMMs). The dataset comprises 296 days of binary headache records. Analysis reveals cyclical patterns, with the DTMC Model yielding the best predictions. Wiener Process, sARIMA, Bayesian Normal Mixtures, DTMC, and Categorical Mixtures models are also reported.
IR_BIM_model
Python-based Information Retrieval system leveraging the BIM probabilistic model. Features include handling free-form text queries, relevance & pseudo-relevance feedback. Performance is rigorously evaluated using metrics like precision/recall, mean average precision, and R-precision. Utilizes the standard Cranfield dataset from aerodynamics.
ReinForceMate
Advanced RL algorithms for two simplified versions of chess. Shortest Path finds the minimal moves between two cells based on piece capabilities. Capture Pieces trains against random opponents aiming for maximal captures in set moves. Features Deep Q-Learning, Policy Iteration, TD and more.
valinsogna's Repositories
valinsogna/AutoMLP-GA
Automates the optimization of Multi-Layer Perceptrons using Genetic Algorithms in PyTorch for classification on MNIST dataset
valinsogna/GovTaxOptimal_RL
RL framework designed to simulate and optimize government taxation policies. Focused on balancing economic equality and consumption, it employs state-of-the-art RL algorithms, PPO and SAC, to navigate wealth taxation strategies across various economic scenarios, aiming to achieve optimal wealth distribution and economic efficiency.
valinsogna/HeadachePredictor-HMM
Predicting headache occurrences using Hidden Markov Models (HMMs). The dataset comprises 296 days of binary headache records. Analysis reveals cyclical patterns, with the DTMC Model yielding the best predictions. Wiener Process, sARIMA, Bayesian Normal Mixtures, DTMC, and Categorical Mixtures models are also reported.
valinsogna/ReinForceMate
Advanced RL algorithms for two simplified versions of chess. Shortest Path finds the minimal moves between two cells based on piece capabilities. Capture Pieces trains against random opponents aiming for maximal captures in set moves. Features Deep Q-Learning, Policy Iteration, TD and more.
valinsogna/2021Assignement01
MPI programs exploring parallel computing techniques. It implements a message-passing ring topology, benchmarks point-to-point MPI performance, and studies various computational tasks like the Jacobi solver and 3D matrix operations. The repo evaluates performance across different topologies, networks, and nodes, using OpenMPI and IntelMPI
valinsogna/2021Assignement02
Parallel implementation of kd-tree construction using MPI & OpenMP. Features include efficient data point generation, tree visualization, scalability tests, and performance optimizations. Aims to address challenges like false sharing & workload imbalances.
valinsogna/adv-ml-units
Repository for the Advanced Topics in Machine Learning practica (@ UniTS, Spring 2023)
valinsogna/advanced_programming_2021
valinsogna/AdvancedProgramming_dssc22
valinsogna/c-_rbt_project
Implementation of Red-Black Tree class in C++
valinsogna/data_visualization_project
Analyzing scores from 17 major international skating events (Oct 2016-Dec 2017). This project delves into judge biases, athlete rankings based on difficult elements, and the significance of elements versus components in final rankings. Built using Python, it offers insights derived from publicly-released International Skating Union Protocols
valinsogna/FiniteDiffPDESolver
An insightful collection of finite difference methods to solve elliptic PDEs. This repository provides interactive exercises, from basic grid generation to advanced boundary value problem solutions, using forward Euler methods. Dive in to explore and understand the dynamics of PDEs through hands-on tasks.
valinsogna/IR_BIM_model
Python-based Information Retrieval system leveraging the BIM probabilistic model. Features include handling free-form text queries, relevance & pseudo-relevance feedback. Performance is rigorously evaluated using metrics like precision/recall, mean average precision, and R-precision. Utilizes the standard Cranfield dataset from aerodynamics.
valinsogna/WhatsGPT
Whatsapp chatbot API using generative pretraining transformers
valinsogna/Covid19-Hospitalization-Insights_Lombardia_2020-21
Covid-19 hospitalization trend analysis for Regione Lombardia, covering Oct 2020-Feb 2021. Utilizes data from official sources to model and predict hospitalizations using linear, GLM, and GAM approaches. A comprehensive case study by a dedicated team.
valinsogna/CV
valinsogna/DSSC_DL_2022
Repository for the DL Course AA 2021-2022 @ DSSC UniTS
valinsogna/EthicalAI-STACKAnalysis
A ML algorithm capable of conducting an in-depth analysis of students' responses to STACK questions
valinsogna/Foundations_of_HPC_2021
valinsogna/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
valinsogna/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
valinsogna/numerical-analysis-2021-2022
valinsogna/python-course
valinsogna/statistical-machine-learning
Probabilistic Machine Learning course lab @UNITS
valinsogna/teaching
Curated repository for all the teaching materials (courses, seminars, etc.) provided by the lab and its members.
valinsogna/TextMiningSvevo
Advanced ML analysis of Italo Svevo's epistolary corpus. Utilizing Latent Dirichlet Allocation (LDA) for topic modeling and sentiment analysis tools. Dive deep into the predominant themes and sentiments in Svevo's letters, revealing the power of ML in literary exploration.
valinsogna/valinsogna