Search Results for "nvidia"

...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 Documentation: https://github.com/Justagwas/a2m/wiki A2M is fully open source and operates only on the files you choose. VirusTotal scan result: https://www.virustotal.com/gui/file/e15aee28aabf60842bc082cff026a8d736ecd734841bfda9cf4baaca239a29e8

...This modular design ensures that the encoder remains adaptable and expandable, allowing for the addition of new and future encoding technologies. Internet Friendly Media Encoder also supports hardware acceleration from Intel, AMD, and NVidia for encoding in H264, H265, and AV1 formats.

...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.

...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.

A clone of the NVSwap windows Utility for NVIDIA NForce-based onboard cards using ALSA. May also futurely evolve into something like the NForce Control Panel.