Is Deep-Learning-in-Production open source?

Yes — ahkarami/Deep-Learning-in-Production is an open-source project tracked on heatdrop.

How popular is Deep-Learning-in-Production?

ahkarami/Deep-Learning-in-Production has 4.4k stars on GitHub.

Where can I find Deep-Learning-in-Production?

ahkarami/Deep-Learning-in-Production is on GitHub at https://github.com/ahkarami/Deep-Learning-in-Production.

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ahkarami/Deep-Learning-in-Production

A curated escape plan for models stuck in Jupyter

A curated reading list for the messy gap between a working notebook and a working service.

★4.4k stars Inference · Serving LLMOps · Eval Learning

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What it does This repository is a curated index of tutorials, documentation, and tools for deploying deep learning models built with PyTorch, TensorFlow, Keras, MXNet, and others. It collects links to official guides, blog posts, videos, and example projects covering everything from C++ model conversion to serverless AWS Lambda deployments and REST API wrappers. Think of it as a well-organized browser bookmark folder that happens to have 4,378 stars.

The interesting bit The value is in the categorization. Rather than dumping a generic “awesome” list, the author sorts resources by framework and task—PyTorch C++ export, TensorFlow Serving, Keras via Flask, even Go-based inference—so you can find the specific duct tape you need without wading through hype.

Key highlights

Heavy focus on practical PyTorch deployment: TorchServe, LibTorch C++ API, ONNX Runtime, and Flask wrappers.
TensorFlow coverage includes TF Serving, containerization guides, and TensorFlow.js for browser inference.
Includes less-common paths: MXNet Model Server, Go APIs for PyTorch (gotch), and NVIDIA Triton.
Annotated links with brief, often enthusiastic judgments like “[Fantastic]” or “[Great Tool]”.

Verdict Grab this if you are a developer who just finished training a model and now needs to pick a serving stack without reading fifty Medium paywalls. Skip it if you are looking for a unified framework or original code; this is purely a curated reference list.

Frequently asked

What is ahkarami/Deep-Learning-in-Production?: A curated reading list for the messy gap between a working notebook and a working service.
Is Deep-Learning-in-Production open source?: Yes — ahkarami/Deep-Learning-in-Production is an open-source project tracked on heatdrop.
How popular is Deep-Learning-in-Production?: ahkarami/Deep-Learning-in-Production has 4.4k stars on GitHub.
Where can I find Deep-Learning-in-Production?: ahkarami/Deep-Learning-in-Production is on GitHub at https://github.com/ahkarami/Deep-Learning-in-Production.