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MLJAR VS AWS Deep Learning AMIs

Compare MLJAR VS AWS Deep Learning AMIs and see what are their differences

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MLJAR logo MLJAR

MLJAR is a predictive analytics platform that facilitates machine learning algorithms search and tuning.

AWS Deep Learning AMIs logo AWS Deep Learning AMIs

The AWS Deep Learning AMIs provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at any scale.
  • MLJAR Landing page
    Landing page //
    2023-06-14
  • AWS Deep Learning AMIs Landing page
    Landing page //
    2023-04-30

Category Popularity

0-100% (relative to MLJAR and AWS Deep Learning AMIs)

MLJAR

AWS Deep Learning AMIs

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Development
0 0%
Development
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Diagnostics Software
0 0%
Diagnostics Software
100% 100

User comments

Share your experience with using MLJAR and AWS Deep Learning AMIs. For example, how are they different and which one is better?
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Social recommendations and mentions

AWS Deep Learning AMIs might be a bit more popular than MLJAR. We know about 3 links to it since March 2021 and only 3 links to MLJAR. 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.

MLJAR mentions (3)

  • [P] Build data web apps in Jupyter Notebook with Python only
    Sure, at the bottom of our website you can subscribe for newsletter. Source: about 1 year ago
  • Data Science and full-stack-web development
    In my case, I had experience in DS and software engineering. It gives me ability to start a company that works on Data Science tools. Source: about 2 years ago
  • [D] Bring your own data AI SaaS service for non-programmers?
    Instead, we started to work on desktop application that will allow to create python notebooks with no-code GUI (https://github.com/mljar/studio some screenshots on our website ). Source: over 2 years ago

AWS Deep Learning AMIs mentions (3)

  • Machine Learning Best Practices for Public Sector Organizations
    AWS Deep Learning AMIs can be used to accelerate deep learning by quickly launching Amazon EC2 instances. - Source: dev.to / over 2 years ago
  • Unable to host a Flask App consisting of an Image Classification Model coded in Pytorch to a free tier EC2 instance. The issue occurs at requirements installation i.e The torch v1.8.1 installation gets stuck at 94%.
    Ok a bit more on topic of your question. Set up a docker locally on your computer, pick a relevant image with all the python stuff and then do pip install -r requirements -t ./dependencies zip it up, upload to S3 and then get it from there and use on the EC2 instance. Or look into using Deep Learning AMIs they should have pytorch installed: https://aws.amazon.com/machine-learning/amis/. Source: almost 3 years ago
  • Is Sagemaker supposed to replace Keras or PyTorch? Or Tensorflow?
    Literally nothing stops you from running EC2 instance with GPU and configuring it yourself. There are even AMIs specialized for ML workloads with everything preconfigured and ready to use - https://aws.amazon.com/machine-learning/amis/. Source: almost 3 years ago

What are some alternatives?

When comparing MLJAR and AWS Deep Learning AMIs, you can also consider the following products

Google Cloud Machine Learning - Google Cloud Machine Learning is a service that enables user to easily build machine learning models, that work on any type of data, of any size.

AWS Auto Scaling - Learn how AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost.

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

IBM Cloud Bare Metal Servers - IBM Cloud Bare Metal Servers is a single-tenant server management service that provides dedicated servers with maximum performance.

Teachable Machine - Easily create machine learning models for your apps, no coding required.

Amazon Elastic Inference - Utilities, Application Utilities, and Machine Learning as a Service

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