Search Results for "disk wipe for linux"
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Showing 5 open source projects for "disk wipe for linux"
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Raspberry Pi Imager
Tool for creating bootable media for Raspberry Pi devices
Raspberry Pi Imager is an official utility designed to simplify the process of creating bootable storage media for Raspberry Pi devices. It provides a user-friendly graphical interface that allows users to select an operating system, download it if necessary, and write it directly to an SD card or USB drive. The tool supports Windows, macOS, and Linux, making it accessible to a broad range of users from beginners to advanced developers. It also includes customization options such as... -
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whisper.cpp
Port of OpenAI's Whisper model in C/C++
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.... -
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Unreal Speccy portable
Portable ZX-Spectrum emulator based on UnrealSpeccy 0.37.3 by SMT
Portable ZX-Spectrum emulator supports Z80 128K (Pentagon) AY/YM, Beeper, Beta Disk, Tape, Kempston Joystick/Mouse, Snapshots, Replays. Supported formats: sna, z80, szx, rzx, tap, tzx, csw, trd, scl, fdi, zip. Created to be ported to many platforms such as Windows/Linux/Mac/Symbian/Dingoo A320/Android/iOS/PSP/Raspberry Pi, ... -
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OnnxStream
Lightweight inference library for ONNX files, written in C++
The challenge is to run Stable Diffusion 1.5, which includes a large transformer model with almost 1 billion parameters, on a Raspberry Pi Zero 2, which is a microcomputer with 512MB of RAM, without adding more swap space and without offloading intermediate results on disk. The recommended minimum RAM/VRAM for Stable Diffusion 1.5 is typically 8GB. Generally, major machine learning frameworks and libraries are focused on minimizing inference latency and/or maximizing throughput, all of which... -
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VDR on MVP
Client for VDR on Raspberry Pi and MVP
This project aims to create set-top-box-alike client software for the Raspberry Pi and Hauppauge MediaMVP, using a plugin for VDR (Video Disk Recorder). This project has moved to http://vomp.tv
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