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Report abuseA Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.
Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
logWMSE, an audio quality metric with support for digital silence target. Useful for evaluating audio source separation systems, even when there are many audio tracks or stems.
Automatic temporally coherent video colorization designed to work well on animated cartoons and demos. End-to-end GAN.
A synthwave-style demo that ranked 1st in ARM DemoCompo in Trondheim, 2018. Designed to be run in Chrome on a Samsung Galaxy S9
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