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Git VS Apple Machine Learning Journal

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

Git logo 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.

Apple Machine Learning Journal logo Apple Machine Learning Journal

A blog written by Apple engineers
  • Git Landing page
    Landing page //
    2023-08-01
  • Apple Machine Learning Journal Landing page
    Landing page //
    2022-12-13

Git videos

Full Git Tutorial (Part 6) - Pull Requests & Code Reviews

More videos:

  • Review - Learn Git In 15 Minutes
  • Tutorial - How to Review a Pull Request in GitHub the RIGHT Way

Apple Machine Learning Journal videos

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Category Popularity

0-100% (relative to Git and Apple Machine Learning Journal)
Git
100 100%
0% 0
AI
0 0%
100% 100
Code Collaboration
100 100%
0% 0
Developer Tools
56 56%
44% 44

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Git and Apple Machine Learning Journal

Git Reviews

Boost Development Productivity With These 14 Git Clients for Windows and Mac
GitUp is the open-source solution for a git repository and IDE interaction on macOS computers. The tool is based on a generic Git toolkit known as the GitUpKit. This toolkit is reusable, and hence you can build your own Git app based on GitUpKit.
Source: geekflare.com

Apple Machine Learning Journal Reviews

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Social recommendations and mentions

Based on our record, Git seems to be a lot more popular than Apple Machine Learning Journal. While we know about 222 links to Git, we've tracked only 6 mentions of Apple Machine Learning Journal. 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.

Git mentions (222)

  • Version Control in VSCode: Integrating Git and GitHub
    Download Git: Visit the Git website and download the installer for your operating system. - Source: dev.to / about 20 hours ago
  • Implementing Role Based Access Control in SvelteKit
    Git: Ensure you have Git installed on your machine. If not, you can download it from the Git website. - Source: dev.to / 5 days ago
  • HOW TO USE GIT AND GIT GUIs.
    1.Understanding of Version Control Concepts. 2.Basic Command Line Knowledge (Optional). 3.Installation of Git : (https://git-scm.com/). 4.Choosing a Git GUI. Learning Basic Git Commands: such as git clone, git add, git commit, git push, git pull, git fetch, git merge, and git branch will be beneficial. 5.Understanding Repository Hosting Services. 6.Practice and Experiment. - Source: dev.to / 8 days ago
  • Getting Started with GitHub
    Windows: Download Git from the official website and follow the installation instructions. - Source: dev.to / 13 days ago
  • pyaction 4.30.0 Released
    This Docker image is designed to support implementing Github Actions With Python. As of version 4.0.0., it starts with The official python docker image as the base Which is a Debian OS. It specifically uses python:3-slim to keep the image size Down for faster loading of Github Actions that use pyaction. On top of the Base, we've installed curl, Gpg, git, and the GitHub CLI. We added curl and gpg because they Are... - Source: dev.to / 18 days 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 Git and Apple Machine Learning Journal, you can also consider the following products

GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.

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

Mercurial SCM - Mercurial is a free, distributed source control management tool.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Cryptlex - Cryptlex is an IT Management software, designed to help you maximize the revenue potential of your software by protecting you against software piracy.

Lobe - Visual tool for building custom deep learning models