Search Results for "swift linux sourceforge"
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Showing 9 open source projects for "swift linux sourceforge"
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sherpa-onnx
Speech-to-text, text-to-speech, and speaker recognition
Speech-to-text, text-to-speech, and speaker recognition using next-gen Kaldi with onnxruntime without an Internet connection. Support embedded systems, Android, iOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, C/C++, Python, Kotlin, C#, Go, NodeJS, Java, Swift, Dart, JavaScript, Flutter. -
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Linux Q83
LinuxQ83 AMD64 and ARM64 (Raspberry Pi 4)
New LinuxQ83 kopernik 13.17 ,is a modern, lightweight Linux distribution focused on performance, usability, and innovation. It features the COSMIC Desktop, a next-generation environment written in Rust, offering high performance, stability, and memory safety. COSMIC provides a clean and customizable interface for efficient window and workspace management. The system is suitable for both older and newer hardware thanks to its low resource usage. LinuxQ83 also uses Nushell as its default... -
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Penguins' eggs
On the road of Remastersys, Refracta, Systemback and father Knoppix!
penguins-eggs is a console tool, under continuous development, that allows you to remaster your system and redistribute it as live images on usb sticks or via PXE, work on amd64, i386 and ARM64. -
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Piano-LED-Visualizer
A midi/Bleutooth piano led vizualizer for the raspberry pi.
This Sourceforge contains a raspberry disk image containing the Piano-LED-visualizer package. This package contains a midi/Bluetooth piano-led visualizer for the raspberry pi. The project code can be found on https://github.com/onlaj/Piano-LED-Visualizer. For more information on how to use this image go to this issue https://github.com/onlaj/Piano-LED-Visualizer/issues/15#issuecomment-642545853. -
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5
GPUImage 2
Framework for GPU-accelerated video and image processing
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. ... -
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Astroberry
Astroberry provides INDI drivers for various Raspberry Pi devices
!!! Please note that the code at sourceforge SVN WILL NOT be updated anymore. The latest version of the code is available at https://github.com/rkaczorek/astroberry-diy !!! Astroberry provides INDI drivers for Raspberry Pi devices such us Astroberry Focuser - stepper motor driver with autospeed feature, Astroberry GPS - GPS driver for scope location and time synchronization, Astroberry AltIMU - accelerometer, magnetometer, gyro, atmospheric pressure sensor driver, Astroberry Board - power... -
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Pearl Linux BerryBoot for RPi2
Pearl Linux BerryBoot Image for the Raspberry Pi 2
Pearl Linux for the Raspberry Pi 2 micro computer. This image is for the BerryBoot multi OS installer available free on sourceforge. With BerryBoot you can run multiple linux distros, media centers etc with only one microSD card. This Pearl Mate release has a customized version of the Mate Desktop as well as Kodi media center built in. -
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FreeNIX-ITALIA
Free Unix-Like Operating Systems for PC and Raspberry Pi
FreeNIX-ITALIA è una comunità che tratta la riga di comando dei sistemi operativi Unix-Like liberi attraverso il rilascio di guide, libri, tools e sistemi operativi, tutti rigorosamente free!!! La pubblicazione prematura del sito web e dell'account qui su SourceForge è una conseguenza della vincita del 2°posto all'Hackathon City Taranto del 7 ed 8 Agosto 2014, dove abbiamo realizzato un sistema operativo per il Raspberry Pi, rivolto all'istruzione negli istituti superiori (ITIS) e nelle... -
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Raspberry Pi Random Pup
Turn your RPi into a Network Hardware RNG
Single Purpose ARM Puppy Linux release to turn your Raspberry Pi into a Dedicated Hardware RNG that can be accessed by your local systems over a network. View the Sourceforge wiki page for instructions -
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