Carlos Timoteo's Projects
Business Intelligence System Infrastructure Program - Content of all courses
A Cloning System based on Clonezilla OCS Server
Code snippets used in Cloud Build documentation
A library for generative social simulation
Cheat Sheets
A high level scripting API for bot builders, developers, and maintainers.
This repo is a first look into DataBricks MLFlow offering.
Repository for a data science starter app using Flask, Angular and Docker. https://medium.com/@dvelsner/deploying-a-simple-machine-learning-model-in-a-modern-web-application-flask-angular-docker-a657db075280
lightweight, standalone C++ inference engine for Google's Gemma models.
This repository includes a deployment guide showcasing the application of Google Cloud's generative AI for marketing scenarios. It offers detailed, step-by-step guidance for setting up and utilizing the generative AI tools, including examples of their use in crafting marketing materials like blog posts and social media content.
Sample code and notebooks for Generative AI on Google Cloud
The Google AI Python SDK enables developers to use Google's state-of-the-art generative AI models (like Gemini and PaLM) to build AI-powered features and applications.
Github mirror of M. Zinkevich's "Rules of Machine Learning" style guide, with extra goodness.
IDTModule software to communicate to IDT sensors
Test Windows Form Application to IDT sensor communication
Handbooks, Code Samples, and Model Zoo for Software Engineers wanting to learn the TF.Keras Machine Learning framework
How-to deploy a custom Ubuntu GNU/linux image scripts and manual
All documents produced with LaTEX
Disciplines projects, articles and some stuffs produced during the MsC
An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI
Models and examples built with TensorFlow
A Windows Form application to easily manage GOL WCF services after a power blackout.
OPCDotNetLib wrapper for opcdaauto.dll
Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.
Runtime data science test repository by using some factory code and cookiecutter.