Name: Andrea Bordone Molini
Type: User
Company: Politecnico di Torino
Bio: He is currently pursuing the Ph.D. His current research interest includes deep learning in the fields of super-resolution and denoising.
Location: Torino
Blog: https://www.linkedin.com/in/andrea-bordone-molini-39ba11a0/
Andrea Bordone Molini's Projects
A curated list of awesome self-supervised methods
DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
A collection of design patterns/idioms in Python
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Siamese and triplet networks with online pair/triplet mining in PyTorch
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
A comprehensive survey of deep metric learning and related works