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Apple Machine Learning Journal VS SuperCollider

Compare Apple Machine Learning Journal VS SuperCollider and see what are their differences

Apple Machine Learning Journal logo Apple Machine Learning Journal

A blog written by Apple engineers

SuperCollider logo SuperCollider

A real time audio synthesis engine, and an object-oriented programming language specialised for...
  • Apple Machine Learning Journal Landing page
    Landing page //
    2022-12-13
  • SuperCollider Landing page
    Landing page //
    2022-04-25

Apple Machine Learning Journal videos

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SuperCollider videos

Making Music with SuperCollider

Category Popularity

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AI
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3D
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Developer Tools
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Music Generation
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Social recommendations and mentions

Based on our record, SuperCollider should be more popular than Apple Machine Learning Journal. It has been mentiond 32 times since March 2021. 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.

Apple Machine Learning Journal mentions (6)

  • Does anyone else suspect that the official iOS ChatGPT app might be conducting some local inference / edge-computing? [Discussion]
    For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: about 1 year ago
  • Which papers should I implement or which Projects should I do to get an entry level job as a Computer vision engineer at MAANG ?
    We even host annual poster sessions of those PhD intern’s work while at our company, and it’ll give you an idea of the caliber of work. It may not be as great as Nvidia, Stryker, Waymo, or Tesla (which are not part of MAANG but I believe are far more ahead in CV), but it’s worth of considering. Source: about 1 year ago
  • Apple’s secrecy created engineer burnout
    They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / about 2 years ago
  • [D] Is anyone working on open-sourcing Dall-E 2?
    They're more subtle about it, I think. https://machinelearning.apple.com/ Some of the papers are pretty good. I don't disagree with your sentiment in aggregate, though. Source: about 2 years ago
  • How does Apple achieve both secrecy and quality for a release?
    Siri is not where it needs to be because Apple refuses to mine user data to enrich it. They also are very hesitant to allow researchers to publish their breakthroughs which makes recruitment very hard. Although this is changing https://machinelearning.apple.com/. - Source: Hacker News / about 2 years ago
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SuperCollider mentions (32)

  • Ask HN: Create audio software akin to physics engines?
    This is essentially sound design from first principles. There's a good book here: https://www.amazon.com/Designing-Sound-Press-Andy-Farnell/dp/0262014416 Note that the software used (Pure Data) can be replaced by another high-level language (SuperCollider: https://supercollider.github.io/) pretty easily. I know of no "tool" to do what you want because there are few things that are universal to different kinds of... - Source: Hacker News / 15 days ago
  • Harnessing Screams with Tidal Looper
    Since then, I've been working more and more with TidalCycles. TidalCycles is an open-source live coding framework for creating patterns written in Haskell. TidalCycles uses SuperCollider on the backend, another language I've been using for live coding. Recently, I started using Tidal Looper for live vocal processing. This blog post will walk you through what you need to get started with vocal looping with Tidal... - Source: dev.to / about 2 months ago
  • Csound
    Csound is... "interesting". If you want to play with something more modern, have a look at https://supercollider.github.io/ instead. - Source: Hacker News / 10 months ago
  • MuseScore 4.1 is now available
    For the intrepid, especially those annoyed with the purported input-sluggishness of musescore et al, an interesting text-based alternative is LilyPond https://lilypond.org/ My dad wrote an opera using LilyPond in vim, though I believe these days he's actually doing more with supercollider, which skips sheetmusic and goes right to sounds: https://supercollider.github.io/. - Source: Hacker News / 12 months ago
  • Why'd you choose programming?
    Weirdly enough,I got into programming through music. I got into making experimental electronic music and ended up learning SuperCollider. Figured I’d have to get a real job at some point and I liked learning Supercollider enough that I figured I should try to go back to school and learn some more useful programming languages. Source: about 1 year ago
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What are some alternatives?

When comparing Apple Machine Learning Journal and SuperCollider, you can also consider the following products

Amazon Machine Learning - Machine learning made easy for developers of any skill level

Pure Data - Pd (aka Pure Data) is a real-time graphical programming environment for audio, video, and graphical...

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Sonic Pi - Sonic Pi is a new kind of instrument for a new generation of musicians. It is simple to learn, powerful enough for live performances and free to download.

Lobe - Visual tool for building custom deep learning models

ChucK - A strongly-timed music programming language