X11:Deepin:Factory

Development branch of deepin-desktop

Development branch of deepin-desktop. This is not for enduser. https://download.opensuse.org/repositories/X11:/Deepin:/Factory/openSUSE_Slowroll/ openSUSE:Slowroll

Slowroll

https://en.opensuse.org/openSUSE:Slowroll = a derivative codestream of openSUSE:Factory that uses automated rules to limit the rate of change to the codebase Release manager: bmwiedemann https://www.zq1.de/~bernhard/linux/opensuse/slowroll/slowroll-vs-tumbleweed-updates.svg https://download.opensuse.org/update/slowroll/repo/oss/ openSUSE:Slowroll:Base

base snapshot from Tumbleweed

This provides an easy-to-use redirect for both sources and binaries in openSUSE:Slowroll:Base:N, switching every cycle (every month) https://download.opensuse.org/repositories/openSUSE:/Slowroll:/Base/standard/ openSUSE:Slowroll:Base:1

staging area for new Base snapshot from Tumbleweed

Before a version bump, I collect i586 and bootstrap binaries here. These are missing in released Tumbleweed snapshots, but are needed for building packages. Also binaries required for DVD builds, because product-builder cannot use those from download-on-demand (dod) https://download.opensuse.org/repositories/openSUSE:/Slowroll:/Base:/1/standard/ openSUSE:Tumbleweed

Tumbleweed

Tumbleweed is the openSUSE Rolling Release This OBS Project represents the content of the currently published snapshot. The newer repository for next publish can be found in openSUSE:Factory standard repository. https://download.opensuse.org/repositories/openSUSE:/Tumbleweed/slowroll/ ncnn

A high-performance neural network inference framework

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, create intelligent APPs, and bring the artificial intelligence to your fingertips. ncnn is currently being used in many Tencent applications, such as QQ, Qzone, WeChat, Pitu and so on.