Home Projects Production-Level-Deep-Learning
Production-Level-Deep-Learning
ai

Production-Level-Deep-Learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

by alirezadir · GitHub
Stars
Forks
Created
Last commit
Category
aiartificial-intelligencedeep-learning
View on GitHub
In plain words

Follow guidelines to build and deploy deep learning systems in real-world applications.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
Production-Level-Deep-Learning — GitHub preview card
📈 Star history
4.7k4.6k
2026-07-072026-08-31
📈 Track Production-Level-Deep-Learning

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

Production-Level-Deep-Learning has 4.7k stars on GitHub. It has been forked 687 times. It has been in active development since 2019. Its main topics are ai, artificial-intelligence, deep-learning, deployment.

Frequently asked questions

What is Production-Level-Deep-Learning?

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

Is Production-Level-Deep-Learning open source?

Production-Level-Deep-Learning is an open-source project.

Is Production-Level-Deep-Learning free?

Yes. Production-Level-Deep-Learning is free and open source — you can use, modify and self-host it.

🏅 Maintainer of this project?
olud.ai badge — Production-Level-Deep-Learning

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=alirezadir-production-level-deep-learning)](https://olud.ai/project/alirezadir-production-level-deep-learning.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.