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Based on our record, AWS CodeCommit should be more popular than Apple Machine Learning Journal. It has been mentiond 22 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.
AWS CodeCommit: secure, highly scalable, managed source control service that hosts private Git repositories. - Source: dev.to / about 2 months ago
AWS CodeCommit is AWS's hosted GitHub in the cloud. It is integrated with IAM and you should understand how different levels of permissions that can be granted to users of the service. Know what the AWSCodeCommitPowerUser policy is for. You can receive notifications via SNS to invoke downstream actions in AWS CodeBuild, AWS CodePipeline or other competing services. - Source: dev.to / 3 months ago
CodeCommit - 5 active users,50GB storage, and 10000 requests per month. - Source: dev.to / 3 months ago
Build – Used for all CodeCommit repositories and CodePipelines that are deployed within the landing zone. - Source: dev.to / 5 months ago
PR-Agent offers extensive pull request functionalities across various git providers: GitHub, GitLab, or Bitbucket, CodeCommit, Azure DevOps, Gerrit. - Source: dev.to / 5 months ago
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: 12 months ago
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
They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / about 2 years ago
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
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
Git - Git is a free and open source version control system designed to handle everything from small to very large projects with speed and efficiency. It is easy to learn and lightweight with lighting fast performance that outclasses competitors.
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Atlassian Bitbucket Server - Atlassian Bitbucket Server is a scalable collaborative Git solution.
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Mercurial SCM - Mercurial is a free, distributed source control management tool.
Lobe - Visual tool for building custom deep learning models