aasimsani/meow-learning
This is a pick-your-problem style guide I created to educate everyone from my leadership team to my ML engineers on the process of how to work with AI in production settings.
This guide helps leadership and technical teams quickly understand and implement AI systems in real-world scenarios. It provides practical insights and resources for navigating the complexities of AI development beyond academic theory. Business leaders, project managers, and machine learning engineers can use this to align on strategy and execution for AI initiatives.
119 stars. No commits in the last 6 months.
Use this if you need a practical, step-by-step guide to train your team on successfully deploying AI in a production environment.
Not ideal if you are looking for an academic deep dive into AI algorithms or a coding tutorial for specific machine learning models.
Stars
119
Forks
5
Language
—
License
—
Category
Last pushed
Dec 17, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/aasimsani/meow-learning"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
mrdbourke/cs329s-ml-deployment-tutorial
Code and files to go along with CS329s machine learning model deployment tutorial.
GokuMohandas/mlops-course
Learn how to design, develop, deploy and iterate on production-grade ML applications.
ThinamXx/MLOps
The repository contains a list of projects which I will work on while learning and implementing MLOps.
mattborghi/mlops-specialization
Machine Learning Engineering for Production (MLOps) Coursera Specialization
awslabs/mlmax
Example templates for the delivery of custom ML solutions to production so you can get started...