Francesco Fantauzzi's repositories
bayes
Implementation of a Naive Bayes classifier with application to driver behavior
bioalg_cpp
Implementation of bioinformatics algorithms in C++
CarND-Capstone
The final project of the Udacity Self-Driving Car Nanodegree: Programming a Real Self-Driving Car.
CarND-Capstone-issue
Minimal changes to the starter code that reproduces the issue with the simulator, see https://github.com/udacity/sdc-issue-reports/issues/1217
CarND-Eclipse-Instructions
Guidance to use Eclipse CDT for the C++ projects of Udacity's Self-Driving Cars program
CarND-Extended-Kalman-Filter-Project
First Project of Term 2 for Udacity's Self-Driving Cars Nanodegree Program
CarND-Kidnapped-Vehicle-Project
Particle Filter project for Udacity Self-Driving Car Nanodegree program
CarND-LaneLines-P1
My submission for Project#1 of Udacity Self-Driving Cars program
CarND-MPC-Project
Model Predictive Controller project for Udacity's Self-Driving Car program
CarND-MPC-Quizzes
Exercises for the Model Predictive Controller
CarND-Path-Planning-Project
A path planner that creates smooth, safe paths for the simulated car to follow along a 3 lane highway with traffic.
CarND-PID-Control-Project
PID Controller Project for Udacity's Self-Driving Cars Nanodegree Program
CarND-Semantic-Segmentation
Label the pixels of a road in images using a Fully Convolutional Network (FCN).
CarND-Traffic-Sign-Classifier-Project
My submission for Project#2 of Udacity Self-Driving Cars program
CarND-Unscented-Kalman-Filter-Project
Second project of Term 2 of Udacity's Self-Driving Cars Nanodegree program.
CarND-Vehicle-Detection
My submission for the "Vehicle Detection and Tracking" Project of Udacity Self-Driving Cars program.
census_income
Experiments on the UCI Census Income Data Set
Cracking_the_Coding_Interview
Exercises from HackerRank tutorial https://www.hackerrank.com/domains/tutorials/cracking-the-coding-interview
ev3dev
ev3dev meta - bug tracking, wiki and releases
graph_algorithms
Implementation of interesting graph algorithms, in Python and C++
Pytorch-Tutorials
Porting of tutorials/examples from Tensorflow/Keras to PyTorch, to teach myself Pytorch
SegNet-Tutorial
Files for a tutorial to train SegNet for road scenes using the CamVid dataset
semantic-segmentation
Experiments with Deep Learning for pixel-by-pixel image segmentation
TDD
Exercises from Modern C++ Programming with Test-Driven Development
tensorflow
Computation using data flow graphs for scalable machine learning
u-net
Experimenting with the U-Net Neural Network architecture for images segmentation
wine-quality
Experiments on the UCI Wine Quality Data Set