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ADeep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Nagents-towards-production
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Popularity
Repository stars4,37821,811Highest
7-day net stars——
Fork6852,885Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2024-11-092026-11-02
Maintenance notesNot verifiedNot verified
Repository created2018-05-032025-06-16
License & use
LicenseLicense not declaredLicense not declared
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeModel serving · TutorialsObservability · Retrieval-augmented generation · Tutorials
TypeGuides & collectionsGuides & collections
SubcategoryGetting startedGetting started
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
Language—Jupyter Notebook
About this projectIn this repository, I will share some useful notes and references about deploying deep learning-based models in production.End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Measured at2026-11-02 19:00 UTC2026-11-02 18:58 UTC
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