I'll also use spotalike.com, and tunebat.com. Source: about 1 year ago

Spotilike: basically the same thing as is built into the Spotify desktop app. Source: about 1 year ago

-Expand your music taste, put stuff into spotalike and find new songs. Source: over 1 year ago

Https://spotalike.com/ paste in a song. And it will give similiar results. Source: over 1 year ago

Https://spotalike.com - create Spotify playlists based on your favorite songs. Source: almost 2 years ago

Check out Magenta on Tensorflow https://magenta.tensorflow.org. It can generate, interpolate or continue midi files, which can be inserted into Ableton. Source: about 1 year ago

Yes, most models these days, except the exceptionally large ones, are possible to train on a laptop. Of course it helps if your laptop has Nvidia CUDA GPU, but even if it doesn't you can rent an AWS 4 core/16GB GPU instance for 0.5 cents an hour. 24 hours of training time would be quite a lot for most models, unless you're trying to train a FB any to any language type model, but typically the big huge models are... Source: over 1 year ago

Sounds like you're referring to this https://openai.com/blog/jukebox/ or this https://magenta.tensorflow.org/. Source: over 1 year ago

Google Magenta has also put out interesting neural net experiments with music like a VST which can blend sounds together to become an instrument, and a Google Colab notebook which attempts to make a MIDI from an audio file. Source: almost 2 years ago

Magenta is an open-source Python package built on top of TensorFlow to manipulate image and music data to train a machine learning model with the generative model as the output. To learn more about Magenta here you go. - Source: dev.to / about 2 years ago