Alberto Soragna
  • Blog
  • Projects
  • Publications
  • Resume
  • Search
Navigation bar avatar
✕

    Projects

    Alberto Soragna Website

    The source code for this very website. Adapted from the Beautiful Jekyll theme taking advantage of multiple JS libraries.

    Languages: HTML

    Tags: Front-End

    Star Fork Watch

    Chinese Postman Problem

    Solver for the Chinese Postman Problem and its most common variants. Integration as ROS exploration plugin.

    Languages: C++

    Tags: Mobile Robotics, ROS

    Star Fork Watch

    CNN Visualization

    Implementation of several techniques for understanding how CNNs learn and perform inference.

    Languages: Python

    Tags: Machine Learning

    Star Fork Watch

    Deep Briscola

    Deep Reinforcement Learning algorithms and models for training agents to play the Italian card game Briscola.

    Languages: Python

    Tags: Machine Learning

    Star Fork Watch

    Python3 Course

    Introductory course to Python programming for complete beginners with classes divided into Jupyter notebooks.

    Languages: Python

    Tags: Tutorial

    Star Fork Watch

    ROS 2 Code Examples

    Practical examples for how to use both basic and more advanced ROS 2 concepts, expanding on the official docs.

    Languages: C++

    Tags: ROS, Tutorial

    Star Fork Watch

    ROS 2 ORBSLAM 2

    ROS 2 wrapper for the ORBSLAM 2 package. Visual SLAM algorithms for monocular and stereo cameras.

    Languages: C++

    Tags: Mobile Robotics, ROS

    Star Fork Watch

    ROS 2 Performance

    Framework to evaluate the performance (CPU, memory, latency, etc.) of arbitrary ROS 2 graphs.

    Languages: C++

    Tags: ROS

    Star Fork Watch

    ROS 2 Tensorflow

    ROS 2 package for loading Tensorflow computer vision models and perform inference through topics and services.

    Languages: Python

    Tags: Machine Learning, ROS

    Star Fork Watch

    Scientific Resume

    Easy to customize template for a colorful scientific resume with one page and two columns built using XeLaTeX.

    Languages: TeX

    Tags: Front-End

    Star Fork Watch

    Tensorflow for NLP

    Framework for training, testing and serving Tensorflow models for a variety of Natural Language Processing tasks.

    Languages: Java, Python

    Tags: Machine Learning

    Star Fork Watch

    • Email me
    • GitHub
    • LinkedIn
    • Google Scholar

    Alberto Soragna  •  2024  •  alsora.github.io  •  Edit page

    Powered by Beautiful Jekyll and using Isotope, MagnificPopup, Materialize, Particles.js