Software Alternatives, Accelerators & Startups

Apple Core ML VS AWS DeepRacer

Compare Apple Core ML VS AWS DeepRacer and see what are their differences

Apple Core ML logo Apple Core ML

Integrate a broad variety of ML model types into your app

AWS DeepRacer logo AWS DeepRacer

A 1/18th scale race car to learn machine learning 🚗
  • Apple Core ML Landing page
    Landing page //
    2023-06-13
  • AWS DeepRacer Landing page
    Landing page //
    2023-03-19

Apple Core ML videos

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

AWS DeepRacer videos

Hands-On with AWS DeepRacer Evo Autonomous Race Car!

More videos:

  • Review - Tested at the AWS DeepRacer Championship Cup!
  • Review - AWS re:Invent 2018 – Announcing AWS DeepRacer (Demo)

Category Popularity

0-100% (relative to Apple Core ML and AWS DeepRacer)
Developer Tools
100 100%
0% 0
Open Source
0 0%
100% 100
AI
100 100%
0% 0
Uber
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, AWS DeepRacer should be more popular than Apple Core ML. It has been mentiond 19 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 / 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 / 4 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: 12 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 / 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: over 2 years ago
View more

AWS DeepRacer mentions (19)

  • Beginning the Journey into ML, AI and GenAI on AWS
    Generative Artificial Intelligence (GenAI) is a type of artificial intelligence that can generate text, images, or other media using generative models. AWS offers a range of services for building and scaling generative AI applications, including Amazon SageMaker, Amazon Rekognition, AWS DeepRacer, and Amazon Forecast. AWS has also invested in developing foundation models (FMs) for generative AI, which are... - Source: dev.to / 4 months ago
  • RL for robotics
    I haven't used it, but I've heard good things about AWS' DeepRacer. It's supposed to be an all-in-one place to start for this kind of work. Source: 6 months ago
  • Scaling ML Education With AWS DeepRacer
    AWS DeepRacer is a service offered by Amazon Web Services (AWS) that combines machine learning, cloud computing, and robotics to provide a platform for learning and experimenting with reinforcement learning. - Source: dev.to / 9 months ago
  • Donkeycar: A Python self driving library
    Some other toy-scale self-driving car projects which come with simulators in case someone cannot get the hardware: 1. Duckietown: https://www.duckietown.org/ from ETH Zurich, comes with a MOOC with all material. 2. MuSHR: https://mushr.io/ from Sid Srinivasa’s group at UW. 3. F1TENTH: https://f1tenth.org/ probably the most popular, regularly heads physical competitions, sometimes at popular robotics conferences.... - Source: Hacker News / about 1 year ago
  • My experience starting out with Deepracer (Q4/22)
    I don't think I'll spend too much time writing about the history of deepracer, or what it is. You can read up on it on AWS website https://aws.amazon.com/deepracer/. - Source: dev.to / over 1 year ago
View more

What are some alternatives?

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

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

Comma.ai - Open source self-driving car platform

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

Apollo (from Baidu) - Open Source platform to develop autonomous driving systems

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

Scootbee - Self-driving, dockless scooters from Singapore