Software Alternatives & Reviews

Apple Machine Learning Journal VS Apple Core ML

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

Apple Machine Learning Journal logo Apple Machine Learning Journal

A blog written by Apple engineers

Apple Core ML logo Apple Core ML

Integrate a broad variety of ML model types into your app
  • Apple Machine Learning Journal Landing page
    Landing page //
    2022-12-13
  • Apple Core ML Landing page
    Landing page //
    2023-06-13

Apple Machine Learning Journal

Categories
  • AI
  • Developer Tools
  • Data Science And Machine Learning
  • Open Source
Website machinelearning.apple.com

Apple Core ML

Categories
  • Developer Tools
  • AI
  • APIs
  • Software Engineering
Website developer.apple.com

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Apple Core ML videos

IBM Watson & Apple Core ML Collaboration - What it means for app development

Category Popularity

0-100% (relative to Apple Machine Learning Journal and Apple Core ML)
AI
63 63%
37% 37
Developer Tools
56 56%
44% 44
Data Science And Machine Learning
Tech
100 100%
0% 0

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Social recommendations and mentions

Apple Core ML might be a bit more popular than Apple Machine Learning Journal. We know about 7 links to it since March 2021 and only 6 links to Apple Machine Learning Journal. 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: 10 months 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: 12 months ago
  • Apple’s secrecy created engineer burnout
    They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / almost 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: almost 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 / almost 2 years ago
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Apple Core ML mentions (7)

  • Ask HN: Where is Apple? They seem to be left out of the AI race?
    On the machine learning side of AI, they have CoreML. You can drag-and-drop images into Xcode to train an image classifier. And run the models on device, so if solar flares destroy the cell phone network and terrorists bomb all the data centers, your phone could still tell you if it's a hot dog or not. https://developer.apple.com/machine-learning/ https://developer.apple.com/machine-learning/core-ml/... - Source: Hacker News / 24 days ago
  • The Magnitude of the AI Bubble
    Apple has actually created ML chipsets, so AI can be executed natively, on-device. https://developer.apple.com/machine-learning/. - Source: Hacker News / 3 months ago
  • 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: 10 months ago
  • Apple to occupy 90% of TSMC 3nm capacity in 2023
    > It’d be one thing if Apple actually worked on AI softwares a bit and made it readily available to developers. * Apple Silicon CPUs have a Neural Engine specifically made for fast ML-inference * Apple supports PyTorch (https://developer.apple.com/metal/pytorch/) * Apple has its own easily accessible machine-learning framework called Core-ML (https://developer.apple.com/machine-learning/) So it would be inaccurate... - Source: Hacker News / 11 months ago
  • The iPhone 13 is a pitch-perfect iPhone 12S
    This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: over 2 years ago
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What are some alternatives?

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

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

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

TensorFlow Lite - Low-latency inference of on-device ML models

Lobe - Visual tool for building custom deep learning models

ML5.js - Friendly machine learning for the web

Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.