Silvia Giammarinaro's repositories
mldl-rgbd-da
Final Project of the couse "Machine Learning and Deep Learning" at Politecnico di Torino, academic year 2019/2020
bioinformatics-labs
Lab solutions of the course "Bioinformatics" at Politecnico di Torino, academic year 2020/2021
compara-deep-learning
Using Deep Learning techniques to enhance orthology calls
ContrastiveLosses4VRD
Implementation for the CVPR2019 paper "Graphical Contrastive Losses for Scene Graph Generation"
Depth-VRD
Improving Visual Relation Detection using Depth Maps (ICPR 2020)
dsl-homework
Lab solutions of the course "Data Science Lab: process and methods" at Politecnico di Torino, academic year 2019/2020
fitting-covid-19
Final project for the course "Modelli Matematici per la Biomedicina" at Politecnico di Torino, academic year 2020/2021
mldl-homework
Assignments of the course "Machine Learning and Deep Learning" at Politecnico di Torino, academic year 2019/2020
mml-breast-cancer-analysis
Final Project of the course "Mathematics for Machine Learning" at Politecnico di Torino, academic year 2019/2020
dsl-sentiment-analysis
Final project for the course "Data science lab: process and methods" at Politecnico di Torino, academic year 2019/2020
FactorizableNet
Factorizable Net (Multi-GPU version): An Efficient Subgraph-based Framework for Scene Graph Generation
GLOM
An implementation of Geoffrey Hinton's paper "How to represent part-whole hierarchies in a neural network" in Pytorch.
hackerrank
Random challenges taken from HackerRank solved with Python 3.
ndl-homework
Assignments of the course "Network Dynamics and Learning" at Politecnico di Torino, academic year 2020/2021
sanremo-2021
Sanremo 2021: il festival della canzone italiana in una foto
schemata
This repository contains code and dataset splits for the paper "Classification by Attention: Scene Graph Classification with Prior Knowledge"
terrytangyuan
My profile-level README.md with self-updating badges
Visual-Relationship-Detection-LTN
This repository contains the dataset and the source code for the detection of visual relationships with the Logic Tensor Networks framework.