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dis_align_leak

disent

🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

glancenet

Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models

ima

Code for the paper: "Independent mechanism analysis, a new concept?"

ml_lab

Official repository for the lab sessions of the course of Machine Learning, taught by Prof. Andrea Passerini

nesy-cl

Codebase for Neuro-Symbolic Continual Learning.

nesy-without-shortcuts

Code for the paper "Learning with Logical Constraints but without Shortcut Satisfaction"

neural_nets_project

object-and-semantic-part-detection-pytorch

Joint detection of Object and its Semantic parts using Attention-based Feature Fusion on PASCAL Parts 2010 dataset

rbms

I implemented a training procedure from scratch of some Restricted Boltzmann Machines. They have been used to fit the probabilistic structure of the 2D-Ising model for fixed temperature.

reasoning-shortcuts

Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts

tensornetwork.org

Source for The Tensor Network open-source review article

vael

Codebase for Bridging Variational Autoencoders and Probabilistic Logic Programming