Software Alternatives & Reviews

Paperspace Gradient

A Linux desktop in the cloud built for Machine Learning

Top 12 Open-Source Alternatives to Paperspace Gradient

Lobe TensorFlow Diffgram ML5.js neptune.ai Scikit-learn PyCaret CatBoost Keras Apache Zeppelin

Summary

The top open-source alternatives to Paperspace Gradient are Lobe, TensorFlow, and Diffgram. 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. 1
    Visual tool for building custom deep learning models
    Pricing:
    • Open Source

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

  2. 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 #Machine Learning #Data Science Tools 7 social mentions

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

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

  4. 4
    Friendly machine learning for the web
    Pricing:
    • Open Source

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

  5. Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.
    Pricing:
    • Open Source
    • Freemium
    • Free Trial

    #Data Science And Machine Learning #Data Science Notebooks #Machine Learning Tools 22 social mentions

  6. scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Data Science Tools #Python Tools 28 social mentions

  7. open source, low-code machine learning library in Python
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Machine Learning #Data Dashboard 2 social mentions

  8. CatBoost - state-of-the-art open-source gradient boosting library with categorical features support, https://catboost.yandex/ #catboost
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Data Science Tools #Machine Learning 4 social mentions

  9. 9
    Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Data Science Tools #OCR 31 social mentions

  10. A web-based notebook that enables interactive data analytics.
    Pricing:
    • Open Source

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

  11. 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

  12. Ploomber is an open-source framework that helps data scientists quickly deploy the code they develop in interactive environments (Jupyter, VScode, PyCharm, etc.), eliminating the need for time-consuming manual porting to production platforms.
    Pricing:
    • Open Source

    #Open Source #Developer Tools #AI 7 social mentions

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