ginevracoal

statistical-machine-learning

Probabilistic Machine Learning course lab @UNITS

robustBNNs

Code for paper "Robustness of Bayesian Neural Networks to Gradient-Based Attacks"

redbnn

Reduced Bayesian Neural Networks are Deterministic Neural Networks with a Bayesian subset of weights. redBNN class computes a MAP estimate of the entire NN and then performs Bayesian inference on a chosen layer or block.

adversarial-protein-sequences

Code for paper "Adversarial Attacks on Protein Language Models", Ginevra Carbone, Francesca Cuturello, Luca Bortolussi, Alberto Cazzaniga (2022).

adversarial_examples

Random Projections for improved Adversarial Robustness

adversarialGAN

Code for paper "Adversarial Learning of Robust and Safe Controllers for Cyber-Physical Systems"

BayesianRelevance

Code for paper "Resilience of Bayesian Layer-Wise Explanations under Adversarial Attacks", Ginevra Carbone, Guido Sanguinetti, Luca Bortolussi, 2021

GAN-abstraction

large-scale-kernel-approximation

statisticalMachineLearning

repo for the course of DSSC "Statistical Machine Learning"

advanced-programming

algorithmicDesign

repo for the course "Algorithmic Design" of DSSC units

bank-ocr-gradle

Bank OCR Kata implemented in Java.

bayesian-statistics

ComputerVision-PatternRecognition

data-visualization

dataManagementForBigData

repo for the course of DSSC "Data Management for Big Data"

game-of-life

Software development methods course project

high_performance_computing

repo for the course of "Foundations of High Performance Computing"

P1.4_seed

Applied Mathematics - Numerical Analysis: An introduction to Scientific Computing

random-projections

software-development-methods

SpeechRecognitionProject

Speech recognition project for the exam of DSSC course "Statistical Machine Learning"

statisticalMethodsForDataScience

repo for the course of DSSC "Statistical Methods for Data Science"

statMethodsProject

Sentiment Analysis

zhang-camera-calibration