gopalsi Goto Github PK

100daysofdevops

20533-implementingmicrosoftazureinfrastructuresolutions

Labs for MOC 20533

30-days-of-python

30 days of Python programming challenge is a step by step guide to learn Python programming language in 30 days.

awesome

😎 Awesome lists about all kinds of interesting topics

awesome-kubernetes

A curated list for awesome kubernetes sources :ship::tada:

awesome-mlops

A curated list of references for MLOps

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

azure-terraform-beginners

Beginners Guide to Terraforming Azure

backstage-users

Backstage demo users

cd4ml-jenkins

CD4ML with jenkins

cd4ml-scenarios

Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops

cml

CML - Continuous Machine Learning or CI/CD for ML

content-aws-mls-c01

Mike Chambers Machine Learning Specialty - July 2018

content-gc-essentials

Joseph's Google Cloud Essential Labs Repo

counter-entities

Backstage demo entities

courseramachinelearning

Coursera Machine Learning By Prof. Andrew Ng

dash

Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.

demo-bs

Backstage Playground Repo

dobetterascode

Find good practices and effective tooling for doing "as code"

eksutil

Sample project to call Kubernetes API of an Amazon EKS cluster from AWS Lambda

example-get-started

Get started DVC project

fastlanecocoaconf2016

A iOS App for Demonstrating Fastlane

ghactionsexamples

ice_breaker

k8s-cluster

Create working Kubernetes cluster

learn-python

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

learn-python3

Jupyter notebooks for teaching/learning Python 3

llmcourseware

local-platform-environment

Reference local-environment for platform developers

machine-learning-books

a list of machine learning books, covering ML, RL, NLP