Alternatives to Algorithms.io logo

Alternatives to Algorithms.io

Amazon SageMaker, Azure Machine Learning, Amazon Machine Learning, Google AI Platform, and Amazon Elastic Inference are the most popular alternatives and competitors to Algorithms.io.
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What is Algorithms.io and what are its top alternatives?

Build And Run Predictive Applications For Streaming Data From Applications, Devices, Machines and Wearables
Algorithms.io is a tool in the Machine Learning as a Service category of a tech stack.

Top Alternatives to Algorithms.io

  • Amazon SageMaker
    Amazon SageMaker

    A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. ...

  • Azure Machine Learning
    Azure Machine Learning

    Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning. ...

  • Amazon Machine Learning
    Amazon Machine Learning

    This new AWS service helps you to use all of that data you’ve been collecting to improve the quality of your decisions. You can build and fine-tune predictive models using large amounts of data, and then use Amazon Machine Learning to make predictions (in batch mode or in real-time) at scale. You can benefit from machine learning even if you don’t have an advanced degree in statistics or the desire to setup, run, and maintain your own processing and storage infrastructure. ...

  • Google AI Platform
    Google AI Platform

    Makes it easy for machine learning developers, data scientists, and data engineers to take their ML projects from ideation to production and deployment, quickly and cost-effectively. ...

  • Amazon Elastic Inference
    Amazon Elastic Inference

    Amazon Elastic Inference allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Amazon SageMaker instances to reduce the cost of running deep learning inference by up to 75%. Amazon Elastic Inference supports TensorFlow, Apache MXNet, and ONNX models, with more frameworks coming soon. ...

  • Replicate
    Replicate

    It lets you run machine learning models with a few lines of code, without needing to understand how machine learning works. ...

  • Amazon Personalize
    Amazon Personalize

    Machine learning service that makes it easy for developers to add individualized recommendations to customers using their applications. ...

  • NanoNets
    NanoNets

    Build a custom machine learning model without expertise or large amount of data. Just go to nanonets, upload images, wait for few minutes and integrate nanonets API to your application. ...

Algorithms.io alternatives & related posts

Amazon SageMaker logo

Amazon SageMaker

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Accelerated Machine Learning
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PROS OF AMAZON SAGEMAKER
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      Amazon SageMaker constricts the use of their own mxnet package and does not offer a strong Kubernetes backbone. At the same time, Kubeflow is still quite buggy and cumbersome to use. Which tool is a better pick for MLOps pipelines (both from the perspective of scalability and depth)?

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      Julien DeFrance
      Principal Software Engineer at Tophatter · | 2 upvotes · 84.2K views

      Which #IaaS / #PaaS to chose? Not all #Cloud providers are created equal. As you start to use one or the other, you'll build around very specific services that don't have their equivalent elsewhere.

      Back in 2014/2015, this decision I made for SmartZip was a no-brainer and #AWS won. AWS has been a leader, and over the years demonstrated their capacity to innovate, and reducing toil. Like no other.

      Year after year, this kept on being confirmed, as they rolled out new (managed) services, got into Serverless with AWS Lambda / FaaS And allowed domains such as #AI / #MachineLearning to be put into the hands of every developers thanks to Amazon Machine Learning or Amazon SageMaker for instance.

      Should you compare with #GCP for instance, it's not quite there yet. Building around these managed services, #AWS allowed me to get my developers on a whole new level. Where they know what's under the hood. Where they know they have these services available and can build around them. Where they care and are responsible for operations and security and deployment of what they've worked on.

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      Azure Machine Learning logo

      Azure Machine Learning

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      A fully-managed cloud service for predictive analytics
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              Julien DeFrance
              Principal Software Engineer at Tophatter · | 2 upvotes · 84.2K views

              Which #IaaS / #PaaS to chose? Not all #Cloud providers are created equal. As you start to use one or the other, you'll build around very specific services that don't have their equivalent elsewhere.

              Back in 2014/2015, this decision I made for SmartZip was a no-brainer and #AWS won. AWS has been a leader, and over the years demonstrated their capacity to innovate, and reducing toil. Like no other.

              Year after year, this kept on being confirmed, as they rolled out new (managed) services, got into Serverless with AWS Lambda / FaaS And allowed domains such as #AI / #MachineLearning to be put into the hands of every developers thanks to Amazon Machine Learning or Amazon SageMaker for instance.

              Should you compare with #GCP for instance, it's not quite there yet. Building around these managed services, #AWS allowed me to get my developers on a whole new level. Where they know what's under the hood. Where they know they have these services available and can build around them. Where they care and are responsible for operations and security and deployment of what they've worked on.

              See more
              Google AI Platform logo

              Google AI Platform

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                  Amazon Elastic Inference logo

                  Amazon Elastic Inference

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                  GPU-Powered Deep Learning Inference Acceleration
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                      Replicate logo

                      Replicate

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                          Hi! I'm considering GPU cloud computing products, can you share some insights about Modal Labs and its advantages against others such as Replicate AI, Lepton AI, or Together.ai? Thank you so much!

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                          Amazon Personalize logo

                          Amazon Personalize

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                          Real-time personalization and recommendation
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                              NanoNets logo

                              NanoNets

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