AWS CodeCommit
Git
Atlassian Bitbucket Server
Mercurial SCM
GitHub Desktop
Visual Studio Team Services
GitKraken
Helix Core
ML5.js
Amazon Machine Learning
Machine Learning Playground
Lobe
Apple Machine Learning Journal
Papers with Code
Pretrained AI
Evidently AI
AWS CodeCommitBased on our record, AWS CodeCommit should be more popular than ML5.js. 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
Important APIs - ml5 for in-browser detection, face-api that uses tensorflow-node to accelerate on-server detection. VueUse for a bunch of useful component tools like the QR Code generator. Yahoo's Gifshot for creating gif files in-browser etc. - Source: dev.to / over 1 year ago
See also: https://ml5js.org/ "The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.". - Source: Hacker News / almost 2 years ago
I used ml5js.org , p5js.org and https://teachablemachine.withgoogle.com to train the Banana images. When you create a new image project on Teachable Machine, you can output the p5js and basically use it right out of the box - I customized js, css, and html from there. Source: about 2 years ago
Going forward: I'll be 100% into JavaScript. You can use JavaScript in so many fields nowadays. Websites React, Mobile Apps React Native, Machine Learning TensorFlow & ML5, Desktop Applications Electron, and of course the backend Node as well. It's kind of a no-brainer. Of course, they all have specific languages that are better, but for now, JavaScript is a bit of a catch-all. - Source: dev.to / over 2 years ago
From other comments, a lot of JavaScript developers who want to use TensorFlow had never heard of TensorFlow.js or ml5.js! Source: over 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