Pietro Barbiero's Projects
Content for the CaRAML website
Competitive layers for deep learning
Computational patient model
Constraint-based Learning with Neural Networks
Database for genetics
Deep Concept Reasoning Pytorch Implementation
Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by Ioana Bica, Helena Andrés-Terré, Ana Cvejic, Pietro Liò
Multi-objective evolutionary algorithms for feature selection
Evolutionary algorithms for prototype / archetype discovery
Evolutionary algorithms for coreset discovery for classification
GH-EXIN neural network for prototype discovery for classification
The Growing Hierarchical Exin Neural Network (GH-EXIN)
My first repository
Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.
MECO: Multi-objective Evolutionary Compression
Evolutionary Multi-Objective Optimization with Mutual Information
Helpers in python to manipulate the annotations of the Pascal-Part dataset.
A LaTeX document class that conforms to the Computer Laboratory's PhD thesis formatting guidelines.
Config files for my GitHub profile.
Repository dedicata al corso di laurea triennale di Ingegneria dell'Informazione del Politecnico di Torino