Based on our record, Magenta Studio seems to be a lot more popular than Planisware. While we know about 17 links to Magenta Studio, we've tracked only 1 mention of Planisware. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Examples (for Common Lisp, so not citing Emacs): reddit v1, Google's ITA Software that powers airfare search engines (Kayak, Orbitz…), Postgres' pgloader (http://pgloader.io/), which was re-written from Python to Common Lisp, Opus Modus for music composition, the Maxima CAS, PTC 3D designer CAD software (used by big brands worldwide), Grammarly, Mirai, the 3D editor that designed Gollum's face, the ScoreCloud app... - Source: Hacker News / 5 months 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
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