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Hi there πŸ‘‹

I'm Giovanni Minelli, welcome to my GitHub page!

I'm a software developer with a passion for coding and exploring new technologies. I recently graduated with a master's degree in Artificial Intelligence from the University of Bologna, specializing in Machine Vision and Reinforcement Learning.

My interest in AI research extends to the study of multi-joint embedding spaces, perception, and vision applied to robotics. I find this field fascinating, particularly its connections with neuroscience, and I'm eager to explore and contribute to its development.

I strive to stay updated with research by participating in ML reading groups and contributing to open-source communities such as RL community. You can find my works here or on johnminelli.it presented in a more organized format.

Get to know me better:

I've always been encouraged to learn diverse subjects because you never know when that knowledge might prove useful. As a result, I've gained experience across many topics, which I believe has made me more adaptable in life and the tech world. Over the years, I've worked in the mechanical industry with 2.5/3-axis CNC machines and explored electrical hobbies, including component soldering. I've also tinkered with Arduino, Adafruit, and Raspberry Pi (check out my IoT repositories, which were part of my thesis project where I collaborated with an Eclipse Foundation development team). I've developed a keen interest in 3D modeling, even experimenting with Unity3D. Additionally, I've been following crypto/blockchain technology (not for investment purposes) since early 2016 and support decentralized, open-source solutions.

I really like the hardware and the architectural side of a computer but being the code development more accessible and straightforward for a kid I embraced this world where elegance and order reigns (...okay, we all try at our best πŸ™‚).
Just to name a few languages (of the many I've experimented with) I really enjoy writing mobile apps in Kotlin but today I'm fully deep into Machine Learning and AI integrations in Python (Keras, TF, Pytorch, Numpy, Scikit-Learn, OpenCV, ...).

Something more?

I'm a big believer of the "mens sana in corpore sano" creed, I love cinema and the whole 'making of' industry behind it (that's also why computer vision is so appealing to me)

I'm always looking for new challenges, so feel free to leave questions or suggestions and, please don't hesitate to contact me. Have fun!

Giovanni Minelli's Projects

appimprove icon appimprove

An app with basic test and tecnique for Android dev learning

carla-gym icon carla-gym

Multi-agent reinforcement learning interface for CARLA Autonomous Driving simulator compatible with PettingZoo

cloud-torrent icon cloud-torrent

☁️ Cloud Torrent: a self-hosted remote torrent client

coinshoarder icon coinshoarder

Website to manage own coin wallets, check masternodes end staking status and live market stats

contextualinpaint icon contextualinpaint

Generation of images adopting Diffusion Models and ControlNet for contextual inpainting

coordinatedqmix icon coordinatedqmix

Mixed Multi-Agent Reinforcement Learning framework for efficient coordination

corec icon corec

Custom implementation of "Context-Aware Retrieval-based Deep Commit Message Generation" paper for automatic commit messages generation.

edutube icon edutube

Android App per la condivisione di contenuti testuali e visivi.

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

hierarchical-ml-agents icon hierarchical-ml-agents

Experimental Fork of Unity's ml-agents system. Attempting to create a hierarchical ml-agent setup that changes behavior based on state.

hono icon hono

Eclipse Honoβ„’ Project

iot-gateway icon iot-gateway

Kura component that works as edge gateway for the sensor

ma-gym icon ma-gym

A collection of multi agent environments based on OpenAI gym.

madrl icon madrl

Repo containing code for multi-agent deep reinforcement learning (MADRL).

ml-agents icon ml-agents

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

pettingzoo icon pettingzoo

A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities

procgen2 icon procgen2

Fast and procedurally generated side-scroller-game-like graphical environments (formerly Procgen)

puzzlesolver icon puzzlesolver

This is a program that uses computer vision techniques to solve jigsaw puzzles using the shapes of the edges.

rl-envknob icon rl-envknob

Procedural content generation via reinforcement learning for game development environments

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