Software Alternatives & Reviews

AWS DeepComposer VS Azure Machine Learning Studio

Compare AWS DeepComposer VS Azure Machine Learning Studio and see what are their differences

AWS DeepComposer logo AWS DeepComposer

AWS DeepComposer gives developers of all skill levels a creative way to experience machine learning. Get hands-on, literally, with a musical keyboard and the latest machine learning techniques to compose your own music.

Azure Machine Learning Studio logo Azure Machine Learning Studio

Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.
  • AWS DeepComposer Landing page
    Landing page //
    2023-04-25
  • Azure Machine Learning Studio Landing page
    Landing page //
    2021-08-03

AWS DeepComposer videos

Announcing AWS DeepComposer with Dr. Matt Wood, feat. Jonathan Coulton

More videos:

  • Demo - AWS DeepComposer Demo
  • Review - MACHINE LEARNING GENERATED MUSIC - Introduction to AWS DeepComposer

Azure Machine Learning Studio videos

Azure Machine Learning Studio

More videos:

  • Review - Introduction to Microsoft Azure Machine Learning Studio & Services

Category Popularity

0-100% (relative to AWS DeepComposer and Azure Machine Learning Studio)
AI
15 15%
85% 85
Data Science And Machine Learning
Music
100 100%
0% 0
Machine Learning
0 0%
100% 100

User comments

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Social recommendations and mentions

Azure Machine Learning Studio might be a bit more popular than AWS DeepComposer. We know about 2 links to it since March 2021 and only 2 links to AWS DeepComposer. 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.

AWS DeepComposer mentions (2)

  • Beginning the Journey into ML, AI and GenAI on AWS
    AWS provides various services for Machine Learning and Artificial Intelligence, including Amazon SageMaker, AWS DeepLens, AWS DeepComposer, Amazon Forecast and more. Familiarize yourself with the services available to determine which ones suit your specific needs. - Source: dev.to / 4 months ago
  • AWS Machine Learning Tools in 2021
    With AWS DeepComposer, you get an AI-enabled keyboard that transforms your melodies into unique songs with the help of Machine Learning models. While this goes astray of the well-known way artists create music, it can lead to new songwriting ways. - Source: dev.to / about 3 years ago

Azure Machine Learning Studio mentions (2)

  • What are all possible FREE Machine Learning integrations with Power BI?
    Machine Learning studio https://studio.azureml.net/ but this will be discontinued in Dec 01,2021 :(. Source: over 2 years ago
  • Stumbling into BI as a job role and need advice
    Advanced analytics, predictive modeling: You can't go passed learning R or Python if you're that way inclined.. however, if you're a GUI monkey like me, I have had a fair amount of success using https://studio.azureml.net/ it's free at base level :). Source: almost 3 years ago

What are some alternatives?

When comparing AWS DeepComposer and Azure Machine Learning Studio, you can also consider the following products

AWS DeepLens - Deep learning enabled video camera for developers

IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.

AWS DeepRacer - A 1/18th scale race car to learn machine learning 🚗

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Amazon CodeGuru - Amazon CodeGuru is a machine learning service for automated code reviews and application performance recommendations.

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.