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Apple Machine Learning Journal VS AWS CodePipeline

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

Apple Machine Learning Journal logo Apple Machine Learning Journal

A blog written by Apple engineers

AWS CodePipeline logo AWS CodePipeline

Continuous delivery service for fast and reliable application updates
  • Apple Machine Learning Journal Landing page
    Landing page //
    2022-12-13
  • AWS CodePipeline Landing page
    Landing page //
    2023-03-25

Apple Machine Learning Journal videos

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AWS CodePipeline videos

AWS CodePipeline tutorial | Build a CI/CD Pipeline on AWS

More videos:

  • Review - Introduction to AWS CodePipeline - Continuous Delivery on Amazon Web Services
  • Review - AWS CodePipeline | AWS CodeDeploy | AWS CodeBuild | CodeCommit | Deploy WebApp a Hands on Lab
  • Review - Streamline Your Software Release Process Using AWS CodePipeline

Category Popularity

0-100% (relative to Apple Machine Learning Journal and AWS CodePipeline)
AI
100 100%
0% 0
Continuous Integration
0 0%
100% 100
Developer Tools
100 100%
0% 0
DevOps Tools
0 0%
100% 100

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Reviews

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AWS CodePipeline Reviews

The Best Alternatives to Jenkins for Developers
AWS CodePipeline is a continuous integration and continuous delivery service that easily and quickly automates your release pipelines for updates. Every time you change the code, AWS CodePipeline will build, test, and deploy your application. Also, it can be easily integrated with GitHub.

Social recommendations and mentions

Based on our record, AWS CodePipeline should be more popular than Apple Machine Learning Journal. It has been mentiond 28 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.

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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AWS CodePipeline mentions (28)

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What are some alternatives?

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

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

Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.

Lobe - Visual tool for building custom deep learning models

Travis CI - Focus on writing code. Let Travis CI take care of running your tests and deploying your apps.