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MNN is a highly efficient and lightweight deep learning framework. It supports inference and training of deep learning models, and has industry leading performance for inference and training on-device. At present, MNN has been integrated in more than 20 apps of Alibaba Inc, such as Taobao, Tmall, Youku, Dingtalk, Xianyu and etc., covering more than 70 usage scenarios such as live broadcast, short video capture, search recommendation, product searching by image, interactive marketing, equity...

DreamFactory can run on private, public, or hybrid cloud infrastructure. DreamFactory is easy to deploy with Docker, Kubernetes, or directly from GitHub using our automated installers. Eliminate the biggest bottleneck in modern IT. Launch your project in weeks rather than months. DreamFactory instantly creates a secure, standardized, reusable, fully documented, and live REST API. Connect Salesforce to SQL Server, or your ERP to AWS S3. Transform and mask data along the way. Create reports,...

DivKit is an open source Server-Driven UI (SDUI) framework. It allows you to roll out server-sourced updates to different app versions. Also, it can be used for fast UI prototyping, allowing you to write a layout once and then ship it to iOS, Android, and Web platforms. DivKit is an excellent choice to start using server-driven UI in your project because it can be easily integrated as a simple view in any part of your app. At the starting point, you don’t need a server integration. You can...

Cerberus Content Management System is a dynamic, secure and infinitely expandable CMS designed after a Unix-Like model. It is a custom written Web Application Framework ( W.A.F. ) with a consistent and custom written Pre-Hyper-Text-Post-Processor Programming Code Framework ( P.C.F. ). This Web Application Software Project' aim is to be the fastest and most secure Web Application Framework, Web Application Programming Code Framework, Text, Voice and Video Communications Platform and Content...

GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. ...