Beatrice Segalini's Projects
Exercises for Physics of Data course "Advanced Statistics for Physical Analysis" by A. Garfagnini
Advanced Statistics for Physical Analysis project about Bayesian Blocks.
An analysis of the Hopfield disordered system from a computational point of view, both with a deterministic and a stochastic (physical) approach. Test of the performances on the MINST dataset. Project for prof. Zanetti course Laboratory of computational physics @UniPd, with mballarin97, joemah, deliriarte.
Assignments for Neural Networks and Deep Learning course, by prof. A. Testolin @ UniPd. Academic Year 2020-21.
Implementation of a Quantum Fourier Transform on quantum circuit with qiskit and cirq and on Matrix Product States with quimb and personal implementation
Presentation and some code for the final exam of the course Quantitative Life Science by prof.S. Suweis @ UniPd
Assignments for prof. Montangero's course Quantum Information and Computing @UniPD
Code accompanying the manuscript "Coexistence of many species in random ecosystems", by Carlos A. Servan et al.
A simple implementation of a Restricted Boltzmann Machine, able to perfrom a supervised classification task on the MNIST database of handwritten digits, coded for prof. Bortolozzi course Biological Physics @UniPd
An application of Reinforcement learning techniques and in particular the NEAT algorithm to address the problem of a pandemic spread with different approaches. Project for prof. Baiesi course Laboratory of Computational Physics @Unipd, with mballarin97 and einlar.