Gonzalo Gasca Meza

An open and reliable container runtime

Reverse proxy that inverts the direction of traffic

A Python SDK for Vertex AI, a fully managed, end-to-end platform for data science and machine learning.

Showcase Notebooks MLOps integration

The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications.

The Go programming language

API service to collect News information via News API

A Postgres-backed ContentsManager implementation for Jupyter

mlenv

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

Big Things Conference Demo

Generate Google Cloud Platform support for Terraform, Ansible, InSpec

TonY is a framework to natively run deep learning frameworks on Apache Hadoop.

A lightweight, multi-tenant, scalable and secure gateway that enables Jupyter Notebooks to share resources across distributed clusters such as Apache Spark, Kubernetes and others.

Honeypot server

Code for the paper "Language Models are Unsupervised Multitask Learners"

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

Send statistics over UDP to collectd servers from Python

Sample apps and code written for Google Cloud in the Go programming language.

Code samples used on cloud.google.com

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MLops example

Universal SIP Log parser

Machine Learning on Google Cloud Platform

Machine Learning Pipelines for Kubeflow

Official Repo for Google Cloud AI Platform

Docker images for testing Google client libraries.

A flexible, high-performance serving system for machine learning models

Run in all nodes of your cluster before the cluster starts - lets you customize your cluster