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Oppia VS Apple Machine Learning Journal

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

Oppia logo Oppia

Oppia is a free, open-source learning platform.

Apple Machine Learning Journal logo Apple Machine Learning Journal

A blog written by Apple engineers
  • Oppia Landing page
    Landing page //
    2021-09-22
  • Apple Machine Learning Journal Landing page
    Landing page //
    2022-12-13

Oppia videos

Kuinka oppia pistoolikyykky?

More videos:

  • Review - Oppia ile Etkileşimli Ders İçeriği Oluşturma
  • Review - Kuinka oppia bäkki viidessä minuutissa

Apple Machine Learning Journal videos

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Category Popularity

0-100% (relative to Oppia and Apple Machine Learning Journal)
Content Collaboration
100 100%
0% 0
AI
0 0%
100% 100
Wikis And Discussion Spaces
Developer Tools
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Apple Machine Learning Journal seems to be more popular. It has been mentiond 6 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.

Oppia mentions (0)

We have not tracked any mentions of Oppia yet. Tracking of Oppia recommendations started around Mar 2021.

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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What are some alternatives?

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

Wikipedia - Wikipedia is a free online encyclopedia, created and edited by volunteers around the world and hosted by the Wikimedia Foundation.

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

Encyclopædia Britannica - Explore the fact-checked online encyclopedia from Encyclopaedia Britannica with hundreds of thousands of objective articles, biographies, videos, and images from experts.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Kiwix - Kiwix enables you to have the whole Wikipedia at hand wherever you go!

Lobe - Visual tool for building custom deep learning models