Aidin Attar's Projects
My personal repository
Exercises of the course of Advanced-Statistics
Implementation of a small-footprint keyword spotting (KWS) engine using convolutional neural networks (CNNs).
Study of the delay time distribution of binary compact object, model them and use of the random forest method to predict them.
Reproduce a real-time processing of real data collected in a particle physics detector and publish the results in a dashboard for live monitoring.
COVID-19 Italia - Monitoraggio situazione
Open Data su consegna e somministrazione dei vaccini anti COVID-19 in Italia - Commissario straordinario per l'emergenza Covid-19
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
Projects of the course of Object-Oriented Programming and C++ of the Bachelor's Degree in Physics of the University of Padua
Soluzione dell'equazione di Poisson in due dimensioni.
Weekly exercises of the course of Stochastic Methods for Finance.
A Python library for calculating and visualizing mutual information in neural networks. This repository includes methods to calculate mutual information using various techniques (binning, KDE, Kraskov) and tools to train neural networks and plot information plane dynamics.
Open Data on the European Digital Covid Certificates (EU DCC) issued and acquired by the national platform
Learning the topology of a Bayesian Network from a database of cases using the K2 algorithm
Repo for Laboratory of Computational Physics, year 21-22
Exercises of the Laboratory of Computational Physics Mod. B
Projects of the course of Machine Learning of the Master Degree in Physics of Data of the University of Padua
Progetto del corso di Metodi Computazionali della Fisica della Laurea Triennale in Fisica dell'Università degli Studi di Padova.
Implementation of a FIR-filter on a FPGA and its employment in an audio system obtained using a PMOD I2S2.
This repository contains the code and dataset for activity recognition using mmWave radar sensors. The dataset was collected in two different environments with 23 subjects and includes range and micro-Doppler inputs. Additionally, there is an alternative task of human micro-Doppler generation using GANs.
Implementation of Spiking Neural Networks (SNNs) using SpykeTorch, featuring STDP and R-STDP training methods for efficient neural computation.
High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.
Tesi triennale sulla ricerca del post merger di segnali di onda gravitazionale
Project of the course of Game Theory at University of Padua
Modelling the implicit volatility, using multi-factor statistical models.