mlblocks VS Apple Machine Learning Journal

mlblocks

A no-code Machine Learning solution. Made by teenagers.

Apple Machine Learning Journal

A blog written by Apple engineers

Landing page //
2019-07-02

Landing page //
2022-12-13

Apple Machine Learning Journal

Categories	AI Developer Tools Data Science And Machine Learning APIs
Website	machinelearning.apple.com

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Category Popularity

0-100% (relative to mlblocks and Apple Machine Learning Journal)

Apple Machine Learning Journal

AI

43 43%

AI

57% 57

Developer Tools

47 47%

Developer Tools

53% 53

Data Science And Machine Learning

46 46%

Data Science And Machine Learning

54% 54

APIs

100 100%

APIs

0% 0

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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.

mlblocks mentions (0)

We have not tracked any mentions of mlblocks yet. Tracking of mlblocks 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: 11 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: almost 1 year 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