Software Alternatives, Accelerators & Startups

Apple Machine Learning Journal VS ImageKit.io

Compare Apple Machine Learning Journal VS ImageKit.io and see what are their differences

Apple Machine Learning Journal logo Apple Machine Learning Journal

A blog written by Apple engineers

ImageKit.io logo ImageKit.io

Instant multi-platform image optimization
  • Apple Machine Learning Journal Landing page
    Landing page //
    2022-12-13
  • ImageKit.io Landing page
    Landing page //
    2022-09-28

Category Popularity

0-100% (relative to Apple Machine Learning Journal and ImageKit.io)
AI
100 100%
0% 0
Image Optimisation
0 0%
100% 100
Developer Tools
100 100%
0% 0
Image Processing
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, ImageKit.io should be more popular than Apple Machine Learning Journal. It has been mentiond 13 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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ImageKit.io mentions (13)

  • How to think about HTML responsive images
    Having the server decide the image format based on the accept header is simpler. Services like https://imagekit.io/ (no affiliation) can do that for you. - Source: Hacker News / about 2 months ago
  • Question Gallery WebApp Django or Flask?
    Hosting wise, I would reccomend pythonanywhere.com, combined with either https://imagekit.io or https://cloudinary.com. Source: about 1 year ago
  • Best way to store and serve images with node and mongodb
    Use any third-party service to store images like Cloudinary , imagekit etc... And store image URLs in your database. If you have fewer images you keep image URLs directly in your APIs. Source: over 1 year ago
  • free-for.dev
    Imagekit.io – Image CDN with automatic optimization, real-time transformation, and storage that you can integrate with existing setup in minutes. Free plan includes up to 20GB bandwidth per month. - Source: dev.to / over 1 year ago
  • Uploading files to image server using ImageKit and Multer in MERN stack
    We'll be using Multer to handle file uploads on our server and imagekit will do all our media heavy lifting. I chose these tools because I just found them easier to use and the latter has a very elaborate documentation (and a free tier too 😋). - Source: dev.to / over 1 year ago
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What are some alternatives?

When comparing Apple Machine Learning Journal and ImageKit.io, you can also consider the following products

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

Cloudinary - Cloudinary is a cloud-based service for hosting videos and images designed specifically with the needs of web and mobile developers in mind.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

imgix - Real-time Image Processing. Resize, crop, and process images on the fly, simply by changing their URLs.

Lobe - Visual tool for building custom deep learning models

Cloudimage - Cloudimage.io is the easiest way to resize, store, and deliver your images to your customers through a rocket fast CDN.