Implementation of Google's MusicLM in PyTorch

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  • musiclm-pytorch

    Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch

  • Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch.

    https://github.com/lucidrains/musiclm-pytorch/blob/main/musi...

  • audiolm-pytorch

    Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch

  • This one is AudioLM modified from here https://github.com/lucidrains/audiolm-pytorch repository to support the music generation needs here.

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    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • jukebox

    Code for the paper "Jukebox: A Generative Model for Music"

  • This model is designed to output raw audio.

    However, there are many models which do output midi. That's actually much simpler, and has been done already a few years ago.

    I thought OpenAI did this. But then, I might misremember, because their Jukebox actually also seems to produce raw audio (https://openai.com/blog/jukebox/).

    However, midi generation is so easy, you even find it in some tutorials: https://www.tensorflow.org/tutorials/audio/music_generation

  • denoising-diffusion-pytorch

    Implementation of Denoising Diffusion Probabilistic Model in Pytorch

  • Generally it's without weights, but MusicLM is also a WIP more mature implementations have descriptions on how to train them and follow ups on small scale/crowd-sourced experiments & research[1].

    [1]: https://github.com/lucidrains/denoising-diffusion-pytorch

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