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    Lightweight' GAN

    Lightweight' GAN

    Implementation of 'lightweight' GAN, proposed in ICLR 2021

    ...The general recommendation is to use suitable augs for your data and as many as possible, then after some time of training disable the most destructive (for image) augs. You can turn on automatic mixed precision with one flag --amp. You should expect it to be 33% faster and save up to 40% memory. Aim is an open-source experiment tracker that logs your training runs, and enables a beautiful UI to compare them.
    Downloads: 2 This Week
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  • 2

    neural-amp-central

    Windows desktop application to manage/train neural network amplifier m

    This software manages your neural network amplifier model needs in a graphical user insterface. Installation of plugins for your DAWs, model training software, launching the training apps, etc. etc. NAM and more to come. Fully based on free and open-source software. Portable install for Windows. Keeps away the command line hassle!
    Downloads: 0 This Week
    Last Update:
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  • 3

    Proteus Model Builder

    GUI for training of neural network models for GuitarML Proteus

    GUI for easier installation and training of neural network models for guitar amplifiers and pedals, based on the GuitarML Proteus models. These are usable for Proteus, Chowdhury-DSP BYOD and even NeuralPi, on all platforms incl. Linux and RaspberryPi. What is this? GuitarML's work on Proteus, NeuralPi and Proteusboard (hardware) is amazing. https://github.com/GuitarML Yet, it is not easy to wrap your head around if you are not familiar with programming, AI, machine learning, neuronal...
    Downloads: 8 This Week
    Last Update:
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