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Aragon VS Apple Machine Learning Journal

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

Aragon logo Aragon

Create and manage organizations on the blockchain

Apple Machine Learning Journal logo Apple Machine Learning Journal

A blog written by Apple engineers
  • Aragon Landing page
    Landing page //
    2023-10-06
  • Apple Machine Learning Journal Landing page
    Landing page //
    2022-12-13

Aragon videos

Can You Find More Watch For $165? Aragon DF40 Review

More videos:

  • Review - Aragon Ai Review: Headshot Generator From Selfies
  • Review - Aragon's 42mm Divemaster is an insane value. Automatic, Sapphire and Ceramic for $140?! Watch Review

Apple Machine Learning Journal videos

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Category Popularity

0-100% (relative to Aragon and Apple Machine Learning Journal)
AI
55 55%
45% 45
Photos & Graphics
100 100%
0% 0
Developer Tools
0 0%
100% 100
AI Image Generator
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Aragon 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.

Aragon mentions (32)

  • Needed: Token-gated, E2EE, censorship-resistant DAO community tool. Help?
    Here are 2 popular ones: Origami and Aragon. But they might not meet all your requirements such as open-source (Origami is not open-sourced yet), slack/discord like features, and white label stuff. Source: about 1 year ago
  • "Aragon’s New DAO Toolkit on Polygon Takes Aim at Voter Apathy" Article from Decrypt
    "Aragon, one of the oldest open-source frameworks for launching decentralized autonomous organizations (DAOs), today announced that it's launching its new tech stack on the Polygon network. Source: about 1 year ago
  • Welcome to the Official Aragon Reddit!
    At Aragon, we believe that digital organizations should be accessible to all, and that's why we're proud to have launched the first DAO framework in 2016. As we continue to iterate and experiment, our focus remains on building antifragile systems that can adapt to an ever-changing world. Source: over 1 year ago
  • Creating DAOs as easy as starting a group chat - feedback wanted!
    There are a few projects that are working on this. I contribute to a public goods project called DAOHaus. There is also Aragon. Nouns also just released something pretty cool if you like that structure. Source: over 1 year ago
  • Betahaus <> Aragon Research Team Hosting Event in Berlin
    Join us at the Betahaus in Berlin for an interactive discussion about Cryptography, Blockchain, and DAOs hosted by Aragon, the leading platform for building your DAO. Come connect with the growing web3 community at the Betahaus and spread the word about this event! Did we mention FREE pizza, drinks, and swag? Source: over 1 year ago
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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 Aragon and Apple Machine Learning Journal, you can also consider the following products

HeadshotPro - Professional corporate headshots for remote teams

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

AI Portrait Gen - Create realistic portraits of yourself that look like professional photos

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

BetterPic.io - Turn casual photos into stunning professional headshots with BetterPic's AI. Enhance your online presence for business individuals and teams with AI-generated portraits and impressive profile pictures.

Lobe - Visual tool for building custom deep learning models