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Code NASA VS Apple Machine Learning Journal

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

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Code NASA logo Code NASA

253 NASA open source software projects

Apple Machine Learning Journal logo Apple Machine Learning Journal

A blog written by Apple engineers
  • Code NASA Landing page
    Landing page //
    2023-10-15
  • Apple Machine Learning Journal Landing page
    Landing page //
    2022-12-13

Category Popularity

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

Code NASA

Apple Machine Learning Journal

Open Source
100 100%
Open Source
0% 0
AI
0 0%
AI
100% 100
Web App
100 100%
Web App
0% 0
Developer Tools
30 30%
Developer Tools
70% 70

User comments

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Social recommendations and mentions

Apple Machine Learning Journal might be a bit more popular than Code NASA. We know about 6 links to it since March 2021 and only 6 links to Code NASA. 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.

Code NASA mentions (6)

  • FBI, Partners Dismantle Qakbot Infrastructure in Multinational Cyber Takedown
    NASA has a good set of open source projects available for public use: https://code.nasa.gov/. - Source: Hacker News / 10 months ago
  • NASA's Software Catalog offers hundreds of new software programs for free
    Yes, this is no-cost but not necessarily open source. NASA open source software can be found at: https://code.nasa.gov/. - Source: Hacker News / 11 months ago
  • Public satellite telemetry data?
    As for public telemetry it might be hard to get it for free as satellite owners do it for money. NASA maintains a public software page at code.nasa.gov and software.nasa.gov which includes OpenMCT mission control software that can do simulated data. Source: over 2 years ago
  • Internship/research as a physics major
    Don't underestimate the strength of personal projects. If you ask a professor about their research, I find very often, they ask about things you have done in the past, which sort of feels like shit if youve done nothing huh? I know people who made cloud chambers or shot ions or massive simulations in HS and I was like, a theatre kid which is so irrelevant. BUT. The reason they ask this is that previous experience... Source: about 3 years ago
  • Software Development, what was that library?
    This would be a place to start. Https://code.nasa.gov/. Source: about 3 years 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 Code NASA and Apple Machine Learning Journal, you can also consider the following products

Google Open Source - All of Googles open source projects under a single umbrella

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

Open NASA - NASA data, tools, and resources

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Open Source @IFTTT - A collection of IFTTT OSS projects.

Lobe - Visual tool for building custom deep learning models

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