Pietro Barbiero's Projects
Causality-Aware Local Interpretable Model Agnostic Explanations
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.