Baiyuetribe/ncnn-models

awesome AI models with NCNN, and how they were converted ✨✨✨

43
/ 100
Emerging

This collection provides pre-trained AI models ready for deployment across various devices like Windows, Mac, Android, and iOS. It helps engineers and developers port complex AI models from frameworks like PyTorch or TensorFlow to the ncnn framework for efficient, cross-platform use. You provide a model trained in a standard AI framework, and this resource offers guidance and converted examples for deploying it with ncnn.

281 stars. No commits in the last 6 months.

Use this if you need to deploy advanced AI capabilities, such as face swapping, image restoration, object detection, or speech synthesis, onto diverse end-user devices with optimized performance.

Not ideal if you are looking for ready-to-use applications or a one-click solution for model conversion, as manual steps are often required.

cross-platform AI deployment mobile AI embedded AI computer vision engineering natural language processing deployment
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 17 / 25

How are scores calculated?

Stars

281

Forks

33

Language

C++

License

MIT

Last pushed

Jul 07, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Baiyuetribe/ncnn-models"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.