Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up
Appearance settings
#

ml-deployment

Here are 57 public repositories matching this topic...

In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype...

  • Updated Nov 4, 2021
  • Jupyter Notebook
jetson-orin-matmul-analysis

Scientific CUDA benchmarking framework: 4 implementations x 3 power modes x 5 matrix sizes on Jetson Orin Nano. 1,282 GFLOPS peak, 90% performance @ 88% power (25W mode), 99.5% accuracy validation, edge AI deployment guide.

  • Updated Oct 14, 2025
  • Python

Improve this page

Add a description, image, and links to the ml-deployment topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the ml-deployment topic, visit your repo's landing page and select "manage topics."

Learn more

AltStyle によって変換されたページ (->オリジナル) /