awesome-deep-learning-music
phd-dissertation
awesome-deep-learning-music | phd-dissertation | |
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5 | 2 | |
2,755 | 27 | |
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3.8 | 3.8 | |
5 months ago | 3 months ago | |
TeX | TeX | |
MIT License | - |
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awesome-deep-learning-music
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AI for creating music
No, I meant if you wanted to try doing it on your own. Either way, try searching Reddit or Twitter (maybe via Fritter): https://github.com/ybayle/awesome-deep-learning-music or Alper Kaplan, ...
- awesome-deep-learning-music: I wouldn't be surprised if DL on music found common grounds with bioacoustics some day
phd-dissertation
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Worlds: Controlling the Scope of Side Effects
Doing effects as in the paper, or as other approaches like in algebraic effects and handlers (Like in Koka, Multicore OCaml, Frank, etc) means that you can reinterpret how effects are executed as a way to do logging, undo, asynchronous scheduling, etc. Some of this stuff is mentioned in the paper. You can also see this neat example of making a toy time-sharing unix system in Links (talk here). OCaml has also done a bunch of cool stuff building handlers that let existing code take advantage of new APIs like iouring (talk here).
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Composing UNIX with Effect Handlers: A Case Study in Effect Handler Oriented Programming
Source Code
What are some alternatives?
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