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whisper.cpp is a lightweight, C/C++ reimplementation of OpenAI’s Whisper automatic speech recognition (ASR) model—designed for efficient, standalone transcription without external dependencies. The entire high-level implementation of the model is contained in whisper.h and whisper.cpp. The rest of the code is part of the ggml machine learning library. The command downloads the base.en model converted to custom ggml format and runs the inference on all .wav samples in the folder samples. whisper.cpp supports integer quantization of the Whisper ggml models. Quantized models require less memory and disk space and depending on the hardware can be processed more efficiently.

iOS, android, raspberry pi, windows store, windows desktop, linux, macOS etc. Multiple toolchains support, include gcc, clang, vs2013, vs2015, vs2017. Hardware accelerated decoders and encoders support. Source code: https://github.com/wang-bin/avbuild

Develop your app in Lua language and export it to most popular platforms, from desktop PC and Mac to mobile (Android, iOS, Windows Phone) and even Web. While Gideros is mainly dedicated to game development, it is also a good fit for professional apps. Code once, run everywhere! Intro documentation: http://docs.giderosmobile.com/ Reference documentation: http://docs.giderosmobile.com/reference/ Forum: http://giderosmobile.com/forum Full source code: https://github.com/gideros/gideros

...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. By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. ...

This project is a wrapper script using generated profiles that include any desired patches and files (such as .desktop, icons, and configurations) to easily update, build, and package the software to be made available in your Linux distributions' online repository. So instead of worrying about how to compile for autoconf, autogen, bootstrap, cmake, or the traditional configure, make, make install, for each software title in your repo, builder will take care of all those details so you can...

...The client application is currently available for Android, Blackberry, MeeGo and Symbian. You can download the client software and precompiled versions for Linux and the Raspberry Pi here: http://qremote.org/download.php#Download The source code is now hosted on GitHub: https://github.com/strahlex/QRemoteControl-Client