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Apple Core ML VS Opta

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

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Apple Core ML logo Apple Core ML

Integrate a broad variety of ML model types into your app

Opta logo Opta

Opta is a new kind of Infrastructure-As-Code framework designed for fast moving startups.
  • Apple Core ML Landing page
    Landing page //
    2023-06-13
  • Opta Landing page
    Landing page //
    2022-01-04

Apple Core ML videos

+ Add

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

Opta videos

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OPTA Review

More videos:

  • Review - Opta Expected Goals
  • Review - OPTA Unisex Black SB - 108 Smartwatch - Unboxing and Review | OPTA Smartwatch | Giveaway

Category Popularity

0-100% (relative to Apple Core ML and Opta)

Apple Core ML

Opta

Developer Tools
56 56%
Developer Tools
44% 44
AI
100 100%
AI
0% 0
Tech
0 0%
Tech
100% 100
APIs
51 51%
APIs
49% 49

User comments

Share your experience with using Apple Core ML and Opta. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Apple Core ML seems to be more popular. 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 / 3 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 / 5 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: about 1 year 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 / about 1 year 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: almost 3 years ago
View more

Opta mentions (0)

We have not tracked any mentions of Opta yet. Tracking of Opta recommendations started around Oct 2021.

What are some alternatives?

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

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

Filestack - Simple file uploader and robust APIs for uploading, transforming, and delivering any file into your app. Filestack is a collection of tools and powerful APIs that make it simple to upload, transform, and deliver content.

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

Cal.com - Cal.com (formerly Calendso) is the open source Calendly alternative.

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

Neuro - Instant infrastructure for machine learning

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