Search Results for "device"

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 distribution, security risk control. ...

...Compatible with standard Libraries use popular hardware in a few lines of code. Simple yet powerful hardware API wrappers. HardwareSPI library provides advanced asynchronous SPI device master capability including the use of ESP8266 ‘overlapped’ mode for reduced pin usage and dual/quad I/O support. Modular C++ installable file system interface.

...Available in the PlatformIO registry. Pretty straightforward sketches, a simple light for example (TODO: adapt to V3). Cute HTTP API/Web UI/App to remotely send the configuration to the device and get information about it. ESP8266 framework for Homie, a lightweight MQTT convention for the IoT.

"CUDA Templates" is a collection of C++ template classes and functions which provide a consistent interface to NVidia's "Compute Unified Device Architecture" (CUDA), hiding much of the complexity of the underlying CUDA functions from the programmer.

This is a small foot print, high performance, type safe device driver library, initially targeting Arduino Mega 2560 and MoteinoMega. The library is stand alone and only requires Avr GCC and avrlib. The design is based on the same ideas as were used for the Ddr-Z8E device driver library (see http://ddrz8e.sourceforge.net/). Heavy usage of hardcoded invariants, constant folding/propagation and inlining ensures both tight code and high performance.

...By using LAMA for their application, software developers benefit from higher productivity and stay up to date with the latest hardware innovations, both leading to shorter time-to-market. The framework supports multiple target platforms within a distributed heterogeneous environment. It offers optimized device code on the backend side, high scalability through latency hiding and asynchronous execution across multiple nodes. LAMA's modular and extensible software design supports the developer on several levels, regardless of whether writing his own portable code with the Heterogeneous Computing Development Kit or using prepared functionality from the Linear Algebra Package, the user always gains high productivity and maximum performance.

XdevL is a powerful cross-platform C++ Object and Plug-In Oriented programming framework which helps you developing Games or device oriented applications. The whole system can be extended using additional Plug-In's which makes it extreme flexible.

Go! is a framework that enables development of user space device drivers in Linux. Go! allows Linux device drivers to be written using UML and C++, and deployed in user space with minimal effects on performance.

Ever wanted to use a Wii Remote, pheraps a Multitouch surface or the Microsoft Kinect to control your application/game even if web based? If so, then MonoMIG (Multi Input Gateway) is what you are looking for!

The Squidy Interaction Library eases the design of "post-WIMP" user interfaces by unifying various device drivers, frameworks and tracking toolkits in a common library and provides a central and easy-to-use visual design environment. www.squidy-lib.de

Intelligere Flash Lite Server (FLS) is a c++ open source component that gives to you the possibility to interact with the API of a symbian device from Flash Lite.Using FLS you can extend the capabilities of your Flash Lite application.

An extension of the famous toolkit Qt of Trolltech/Nokia written in C++. Features: - multicast support - upnp support (service point / device) - implementation of ajp protocol - support of C++ servlets

AGR (Accelerometer Gesture Recogniser) is a library aimed to helps gesture recognition using an accelerometer device, like the Nintendo Wii remote controller.

the goal of this project is to build a stack for Lonworks Protocol and device working on this protocol