francomano Goto Github PK

2d_normal_lidar_odom

a Normal-Aware Lidar odometry that estimates the ego-motion of the robot

attention-video-super-resolution

A deep learning model that achieves video super-resolution tasks with temporal and spatial attention in cascade

cards_classification_kaggle

This is my Convolutional Neural Network built for a Kaggle card image dataset and tested on new external images

coffeecraft

An application that allow the user to log in (and access to all his data), and connect to external distributors, in order to get the coffee generated by a Machine Learning algorithm

fat32_projectso

fat32 filesystem on mmapped buffer Authors: (c) 2022 Bonifacio Marco Francomano,Edoardo Giuggioloni

gluonts

Probabilistic time series modeling in Python

image-reconstruction-using-convolutional-autoencoders-and-pytorch

Image Reconstruction and Restoration of Cats and Dogs Dataset using PyTorch's Torch and Torchvision Libraries

ltw-the_hiker-master

The Hiker Official Demo Site by Marco Francomano & Riccardo Gobbato

man-in-the-middle-python

ARP Poisoning/Spoofing using Scapy Python Library

mine_sweeper

My version of mine sweeper equipped with a server that generates the games

neural_inverted_index_dsi

Neural inverted index for fast and effective information retrieval

par_map

Parallel version of the map (Scala library function) based on camil demetrescu's code

planning_taxi_domain

A taxi domain modeled in PDDL. The objects in the chosen domain are taxis, people, and sidewalks. Taxis can park along a sidewalk or double-park and can move from one sidewalk to another

psa-gan

PSA-GAN implementation in pytorch

self-attention-gan

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

shell

My shell created using system call fork/execvp

srelu

My implementation of SReLU activation function using PyTorch

t

ukf_test

In this project we proposed a tracking control strategy for a tracked mobile robot under longitudinal slip condition. The proposed control strategy is based on the dynamic model of the tracked robot, in which the longitudinal slip of the left and right tracks are described by two unknown parameters.

wmr_control_ukf_based