phd-dissertation
awesome-deep-learning-music
| phd-dissertation | awesome-deep-learning-music | |
|---|---|---|
| 2 | 5 | |
| 27 | 2,742 | |
| - | - | |
| 3.8 | 3.8 | |
| 2 months ago | 5 months ago | |
| TeX | TeX | |
| - | MIT License |
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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
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
What are some alternatives?
LaTeX-KOMA-template - Generic template for midsize and larger documents based on KOMA script classes.
WOLOF-ASR-Wav2Vec2 - Audio Preprocessing and finetuning of wav2vec2-large-xlsr model on AI4D Baamtu Datamation - Automatic Speech Recognition in WOLOF Data.
eioio - Effects-based direct-style IO for multicore OCaml
awesome-wasm - 😎 Curated list of awesome things regarding WebAssembly (wasm) ecosystem.
awesome-scalability - The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
PlotNeuralNet - Latex code for making neural networks diagrams
awesome-deep-learning - A curated list of awesome Deep Learning tutorials, projects and communities.
Awesome - :computer: 🎉 An awesome & curated list of best applications and tools for Windows.
awesome-oss-alternatives - Awesome list of open-source startup alternatives to well-known SaaS products 🚀
awesome-cpp - A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.
recognize - 👁 👂 Smart media tagging for Nextcloud: recognizes faces, objects, landscapes, music genres [Moved to: https://github.com/nextcloud/recognize]