Software Alternatives & Reviews

Apple Core ML VS Aquarium

Compare Apple Core ML VS Aquarium and see what are their differences

Apple Core ML logo Apple Core ML

Integrate a broad variety of ML model types into your app

Aquarium logo Aquarium

Improve ML models by improving datasets they’re trained on
  • Apple Core ML Landing page
    Landing page //
    2023-06-13
  • Aquarium Landing page
    Landing page //
    2023-09-26

Apple Core ML

Categories
  • Developer Tools
  • AI
  • APIs
  • Software Engineering
Website developer.apple.com
Pricing URL-

Aquarium

Categories
  • Developer Tools
  • AI
  • APIs
  • Tech
Website aquariumlearning.com
Pricing URL Official Aquarium Pricing

Apple Core ML videos

IBM Watson & Apple Core ML Collaboration - What it means for app development

Aquarium videos

What Happened To This PRO Aquarium Fish Keeper?! | Fish Tank Review 34

More videos:

  • Review - Petsmart Top Fin 5 Gallon Glass Aquarium $49.99 Unboxing Review!

Category Popularity

0-100% (relative to Apple Core ML and Aquarium)
Developer Tools
50 50%
50% 50
AI
49 49%
51% 51
APIs
49 49%
51% 51
Data Science And Machine Learning

User comments

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Social recommendations and mentions

Based on our record, Apple Core ML should be more popular than Aquarium. It has been mentiond 7 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 Core ML mentions (7)

  • Ask HN: Where is Apple? They seem to be left out of the AI race?
    On the machine learning side of AI, they have CoreML. You can drag-and-drop images into Xcode to train an image classifier. And run the models on device, so if solar flares destroy the cell phone network and terrorists bomb all the data centers, your phone could still tell you if it's a hot dog or not. https://developer.apple.com/machine-learning/ https://developer.apple.com/machine-learning/core-ml/... - Source: Hacker News / about 2 months ago
  • The Magnitude of the AI Bubble
    Apple has actually created ML chipsets, so AI can be executed natively, on-device. https://developer.apple.com/machine-learning/. - Source: Hacker News / 3 months ago
  • 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: 11 months ago
  • Apple to occupy 90% of TSMC 3nm capacity in 2023
    > It’d be one thing if Apple actually worked on AI softwares a bit and made it readily available to developers. * Apple Silicon CPUs have a Neural Engine specifically made for fast ML-inference * Apple supports PyTorch (https://developer.apple.com/metal/pytorch/) * Apple has its own easily accessible machine-learning framework called Core-ML (https://developer.apple.com/machine-learning/) So it would be inaccurate... - Source: Hacker News / 11 months ago
  • The iPhone 13 is a pitch-perfect iPhone 12S
    This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: over 2 years ago
View more

Aquarium mentions (2)

  • Ask HN: Who is hiring? (November 2021)
    Aquarium (https://aquariumlearning.com/) | Remote Only (North American Timezones) | Full Time Aquarium is an ML data management system that helps ML teams improve their models by improving their datasets. Aquarium uncovers problems in your dataset, then helps you edit or add data to fix these problems and optimize your model performance. We are looking for our first Product Manager and are also hiring for... - Source: Hacker News / over 2 years ago
  • ML Data Management — A Primer
    #ML is maturing and teams are less concerned about having enough #data, but rather having the right data. ML data management tooling helps improve ML models by improving datasets. Check out our piece below that discusses trends in the space and startups like aquariumlearning.com, Tryunbox.ai, Lightly.ai, Scale, and Labelbox. https://medium.com/memory-leak/ml-data-management-a-primer-a635a5eac858. Source: over 2 years ago

What are some alternatives?

When comparing Apple Core ML and Aquarium, you can also consider the following products

TensorFlow Lite - Low-latency inference of on-device ML models

Scale Nucleus - The mission control for your ML data

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

PerceptiLabs - A tool to build your machine learning model at warp speed.

Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.

ML Image Classifier - Quickly train custom machine learning models in your browser