#python #cublas #cuda #cudnn #cupy #curand #cusolver #cusparse #cusparselt #cutensor #gpu #nccl #numpy #nvrtc #nvtx #rocm #scipy #tensor
https://github.com/cupy/cupy
https://github.com/cupy/cupy
GitHub
GitHub - cupy/cupy: NumPy & SciPy for GPU
NumPy & SciPy for GPU. Contribute to cupy/cupy development by creating an account on GitHub.
#python #audio #docker_image #dsp #equalizer #filter #limiter #mastering #matchering #matching #music #numpy #python #python_library #python3 #scipy #sound #spectrum #vst
Matchering 2.0 is a tool that helps make your music sound like your favorite songs. Here’s how it works: you give it two audio files - one you want to master (your song) and another you want it to sound like (a reference song). Matchering then adjusts your song to match the volume, frequency response, peak amplitude, and stereo width of the reference song. This means you can quickly make your music sound professional and consistent, just like popular tracks. You can use it without installation through online services or install it on your computer for more control. It's especially useful for music producers and audio engineers who want to enhance their tracks easily.
https://github.com/sergree/matchering
Matchering 2.0 is a tool that helps make your music sound like your favorite songs. Here’s how it works: you give it two audio files - one you want to master (your song) and another you want it to sound like (a reference song). Matchering then adjusts your song to match the volume, frequency response, peak amplitude, and stereo width of the reference song. This means you can quickly make your music sound professional and consistent, just like popular tracks. You can use it without installation through online services or install it on your computer for more control. It's especially useful for music producers and audio engineers who want to enhance their tracks easily.
https://github.com/sergree/matchering
GitHub
GitHub - sergree/matchering: 🎚️ Open Source Audio Matching and Mastering
🎚️ Open Source Audio Matching and Mastering. Contribute to sergree/matchering development by creating an account on GitHub.
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