Software Alternatives & Reviews

Machine Learnings

Understand how A.I. will change your future.

Top 7 Open-Source Alternatives to Machine Learnings

TensorFlow Lobe ML5.js AWS Personalize Google Cloud Machine Learning Good First Issue Diffgram

Summary

The top open-source alternatives to Machine Learnings are TensorFlow, Lobe, and ML5.js. One of the criteria for ordering this list is the number of mentions that products have on reliable external sources. You can suggest additional sources through the form here.
  1. 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.
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Data Science Tools #AI 7 social mentions

  2. 2
    Visual tool for building custom deep learning models
    Pricing:
    • Open Source

    #AI #Data Science And Machine Learning #Developer Tools 15 social mentions

  3. 3
    Friendly machine learning for the web
    Pricing:
    • Open Source

    #Developer Tools #AI #Data Science And Machine Learning 9 social mentions

  4. Real-time personalization and recommendation engine in AWS
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Data Science Tools #Data Dashboard 6 social mentions

  5. 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.
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Data Science Tools #Python Tools 21 social mentions

  6. Make your first open-source contribution
    Pricing:
    • Open Source

    #Code Collaboration #Git #Developer Tools 51 social mentions

  7. Data Annotation Platform
    Pricing:
    • Open Source
    • Freemium
    • Free Trial

    #Data Labeling #Data Science And Machine Learning #Machine Learning 2 user reviews

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