Software Alternatives, Accelerators & Startups

Top 9 Machine Learning Tools in Data Science Tools

The best Machine Learning Tools within the Data Science Tools category - based on our collection of reviews & verified products.

Scikit-learn TensorFlow PyTorch Keras neptune.ai Iterative.ai Managed MLflow MLPerf CUDA Toolkit

Summary

The top products on this list are Scikit-learn, TensorFlow, and PyTorch. All products here are categorized as: Machine Learning Tools. Tools and platforms for data analysis and scientific computation. 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. 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 #Software Libraries 35 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 #AI 7 social mentions

  3. Open source deep learning platform that provides a seamless path from research prototyping to...
    Pricing:
    • Open Source

    #Data Science And Machine Learning #AI #Data Science Tools 135 social mentions

  4. 4
    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 #Machine Learning #Data Science Tools 35 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 #Machine Learning #AI 24 social mentions

  6. Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.

    #Data Science And Machine Learning #Machine Learning #AI 6 social mentions

  7. Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

    #Data Science And Machine Learning #Machine Learning #Data Science Notebooks

  8. 8
    Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.

    #Data Science And Machine Learning #Machine Learning #Data Science Notebooks

  9. Select Target Platform Click on the green buttons that describe your target platform.

    #Data Science And Machine Learning #AI #Online Services 41 social mentions

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