machine learning

The main project for OctoMY™ - Ready-to-run robot software

attempt to make a ML framework in C

BPF Machine Learning PoC

✭ MAGNETRON ™ ✭: for making an IMAGINATION PROXIA/IMAGINATION PROXIA (A1). Instant neural graphics primitives: lightning fast NeRF (Neural Radiance Fields) and more...

✭ MAGNETRON ™ ✭: The official Exploit Database repository

✭ MAGNETRON ™ ✭: HEARING PROXIA. DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

✭ MAGNETRON ™ ✭: DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

Code package for "Automated reconstruction of bound states in bilayer graphene quantum dots"

Port of DarkNet machine learning library in Intel SGX

R Package for decentralized learning.

This repo contains the code and documentation of the project realized for the Artificial Vision course, developed during my Master's Degree course in Computer Engineering.

Juego para la materia de inteligencia artificial, implementado en python. El juego como tal se ejecuta por medio de I.A

Patrick but better.

Frontend - IMT Lille Douai school project - Mobile app communicating with a Django REST API combined with a conventional neural network in order to analyses pictures.

A secure IoT home security system built on the Azure Sphere that leverages on-device machine learning to detect home break-ins and provide a real-time notification to the owner via the included mobile app.

Neuro Evolution of Augmented Topologies

Using AWS Machine Learning services and Apache MXNet on a Raspberry Pi.

Code for the Johnny Pi series of posts on Medium https://medium.com/@julsimon/johnny-pi-i-am-your-father-part-0-1eb537e5a36

Testing functions and features of a music production utility app.

A aprendizagem se aplica ao que conhecemos como Cinemática Inversa, onde damos ao robô a posição (x,y,z) e a rotação (roll, pitch, yaw) desejadas do punho (ou garra) para que a inteligência obtenha quais ângulos ( theta_1, theta_2, ... , theta_6 ).