HenrryVargas

mlops

Machine learning devops

pycaret

An open source, low-code machine learning library in Python

Actividad2

Manejo de datos meteorológicos desde Marte, a través de REMS en Curiosity (NASA) .

AI

Microsoft AI

amundsen

Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.

architecture-center

Azure Architecture Center

awesome-graph

A curated list of resources for graph databases and graph computing tools

coaching

demo

examples, best practices for k8s volumes on azure, AKS, acs-engine, helm, etc.

examsazure200201

facets

Visualizations for machine learning datasets

feast-kubeflow

gamification-engine

gamification-engine (gengine) is a framework for developing gamification features for your application

gitpod

Gitpod automates the provisioning of ready-to-code development environments.

keras_tunner_example

keycloak

Open Source Identity and Access Management For Modern Applications and Services

krew

📦 Find and install kubectl plugins

kube-static-egress-ip

Kubernetes CRD to manage static egress IP addresses for workloads

Kubeflow_Pipelines

This repository aims to develop a step-by-step tutorial on how to build a Kubeflow Pipeline from scratch in your local machine.

marquez

Collect, aggregate, and visualize a data ecosystem's metadata

mlops2020

MLOpsPython

MLOps using Azure ML Services and Azure DevOps

nameko

Python framework for building microservices

nameko-examples

Nameko microservices example

networkx

Official NetworkX source code repository.

pip2pi

pip2pi builds a PyPI-compatible package repository from pip requirements

prefect

The easiest way to automate your data

spektral

Graph Neural Networks with Keras and Tensorflow 2.

superset

Apache Superset is a Data Visualization and Data Exploration Platform

vpn