Name: Juliano Petronetto
Type: User
Company: @petronettodev
Bio: House of Devs, First of His Name, King of the Beers and Coffee, Debugger of Bugs, Protector of the SOLID, Father of Plants, Breaker of Staging
Location: Vienna, Austria
Blog: https://petronetto.dev
Juliano Petronetto's Projects
Busca por CEP integrado diretamente aos serviços dos Correios e ViaCEP (Node.js e Browser)
Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.
OpenALPR Cloud API Client Libraries
A PHP CMS powered by Laravel 5 and Sentry
Lessons of Course "LARAVEL 5.1 COM IONIC + CORDOVA" at http://sites.code.education/home-code/
This is the code for "Convolutional Neural Networks - The Math of Intelligence (Week 4)" By Siraj Raval on Youtube
World countries in JSON, CSV, XML and Yaml. Any help is welcome!
🐘🎯 Hexagonal Architecture + DDD + CQRS applied in PHP using Symfony 4
For research purposes only. Learn from our experiments :)
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
An example of CRUD in PHP with PDO
A small web application that uses angularjs, bootstrap, C# .NET and web api.
code for Data Science From Scratch book
Treinamento em Data Science
Using neural networks to build an automatic number plate recognition system
Deep learning with PyTorch, published by Packt
Criando um chat utilizando Elixir e Phoenix
sample code for several design patterns in PHP
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
Slides and notebooks for my talk in Dev-ES Conf 2017 about Machine Learning
Lessons to "Do Amanhã" project
Nginx web server build on Alpine docker image.
A very small Docker image to bootstrap your PHP development with Composer support.
compose do app de forum discourse
Materials for an online-course - "Practical XGBoost in Python"
Python3 Tensorflow backended Keras with Jupyter docker image based on alpine
Container using PHP-PM (https://github.com/php-pm/php-pm)