Search Results for "nvidia"
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Showing 3 open source projects for "nvidia"
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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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A2M — AUDIO TO MIDI
A2M is a desktop app that converts AUDIO TO MIDI in one click.
...Using A2M is straightforward: Select an audio file, click Convert, and the application generates a MIDI file automatically in your Downloads/A2M folder. All processing is done locally on your device, no uploads, no accounts, and no telemetry. The app runs on CPU by default, with optional NVIDIA GPU acceleration for faster conversions. Project links: Website: justagwas.com/projects/a2m GitHub: github.com/Justagwas/A2M Releases: github.com/Justagwas/A2M/releases A2M is fully open source and operates only on the files you choose. VirusTotal scan result: https://www.virustotal.com/gui/file/bab8e436c51df6d28e2139f93781fbfd6667ae944cff6f2d51636f04ec50eb69 -
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NAM-Runner
Batch file to install and run NAM (neural-amp-modeler) easily.
...Custom one-time installation of everything you need to train neural network models of guitar amps and more for the NAM VST plugin, no Conda required. Runs as a launcher afterwards. Portable installation. New pyTorch inclues CUDA runtime for fast Nvidia GPU support. No command line, python or conda knowledge needed! Just double click. -
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Accelerated Feature Extraction Tool
A fast GPU accelerated feature extraction software for speech analysis
...It incorporates standard MFCC, PLP, and TRAPS features. The tool is a specially designed to process very large audio data sets. It uses GPU acceleration if compatible GPU available (CUDA as weel as OpenCL, NVIDIA, AMD, and Intel GPUs are supported). CPU SSE intrinsic instruction set is used in cases where no compatible GPU present. The output files are stored in HTK format. The software is developed at Department of Cybernetics at University of West Bohemia in Pilsen.
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