Jose Luis Rodriguez's Projects
This is a template used for setting up a machine learning project running on Azure Machine Learning
Flask API Server - Open-Source API Server | AppSeed
A curated list of awesome actions to use on GitHub
A curated list of modern Generative Artificial Intelligence projects and services
A curated list of references for Amazon SageMaker
Welcome to the Bot Framework samples repository. Here you will find task-focused samples in C#, JavaScript and TypeScript to help you get started with the Bot Framework SDK!
Dialog creation and management for Microsoft Bot Framework Applications
Scalable PaaS (automated Docker+nginx) - aka Heroku on Steroids
A complete computer science study plan to become a software engineer.
Containers for machine learning
Welcome to the Intelligent Kiosk Sample! Here you will find several demos showcasing workflows and experiences built on top of the Microsoft Cognitive Services.
Collab notebook interesting to review and study.
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust to everyone.
Covid19
Set up a modern web app by running one command.
A roadmap for those looking to start or expand a career in the data community
:art: Diagram as Code for prototyping cloud system architectures
Docker image for the Magic Mirror 2 project by Michael Teeuw.
This repository contains .NET Documentation.
para el driver de bombas de infusion de las ucis
The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.
Easy to get started sample reference microservice and container based application (Currently in BETA state, ongoing progress, accepting feedback and pull-requests). Cross-platform on Linux and Windows Containers, powered by .NET Core and Docker engine. Supports .CSPROJ with Visual Studio 2017 and also CLI based environments with Docker CLI, dotnet CLI, VS Code or any other code editor
Example Docker Compose app
Combine the power of FastAPI and Django to build a production-ready application capable of utilizing all of the best features of both worlds.