ncnn
Query-time baseline · scored live at search
| Entity Passport | |
| Registry ID | tencent/ncnn |
| License | NOASSERTION |
| Provider | github |
Cite this model
Academic & Research Attribution
@misc{tencent_ncnn,
author = {Tencent},
title = {ncnn Model},
year = {2017},
howpublished = {\url{https://github.com/Tencent/ncnn}},
note = {Accessed via Free2AITools.}
} 🔬Technical Deep Dive
Full Specifications [+]▾
Quick Commands
git clone https://github.com/Tencent/ncnn ⚖️ Free2AITools Nexus Index V2.0
Query-time baseline · scored live at search
💬 Index Insight
FNI V2.0 for ncnn: Authority (A:62), Popularity (P:74), Recency (R:78), Quality (Q:70). Semantic (S) is a query-time baseline scored live at search.
Data Sources / Provenance
🚀 What's Next?
Technical Deep Dive

ncnn
ncnn is a high-performance neural network inference computing framework optimized for mobile platforms. ncnn is deeply considerate about deployment and uses on mobile phones from the beginning of design. ncnn does not have third-party dependencies. It is cross-platform and runs faster than all known open-source frameworks on mobile phone cpu. Developers can easily deploy deep learning algorithm models to the mobile platform by using efficient ncnn implementation, creating intelligent APPs, and bringing artificial intelligence to your fingertips. ncnn is currently being used in many Tencent applications, such as QQ, Qzone, WeChat, Pitu, and so on.
ncnn 是一个为手机端极致优化的高性能神经网络前向计算框架。 ncnn 从设计之初深刻考虑手机端的部署和使用。 无第三方依赖,跨平台,手机端 cpu 的速度快于目前所有已知的开源框架。 基于 ncnn,开发者能够将深度学习算法轻松移植到手机端高效执行, 开发出人工智能 APP,将 AI 带到你的指尖。 ncnn 目前已在腾讯多款应用中使用,如:QQ,Qzone,微信,天天 P 图等。
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Download & Build status
https://github.com/Tencent/ncnn/releases/latest
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⚠️ Incomplete DataSome information about this model is not available. Use with Caution - Verify details from the original source before relying on this data. View Original Source →📝 Limitations & Considerations
Social ProofGitHub Repository 23.2KStars 4.4KForks 🔄 Updated daily Source summary: Based on GitHub metadata. Not a recommendation. 🛡️ Model Transparency ReportTechnical metadata sourced from upstream repositories.
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