Software Alternatives, Accelerators & Startups

📊 Data Science And Machine Learning

Platforms and tools for data analysis, scientific research, and machine learning applications.

The best Data Science And Machine Learning Products based on votes, our collection of reviews, verified products and a total of 2,431 factors

Top Data Science And Machine Learning Products

  1. 315

    Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

    Open Source

  2. 303

    scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

    Open Source

  3. Clear. Fast. Unlimited. Residential & Mobile Proxies For Best Price .

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  4. 288

    OpenCV is the world's biggest computer vision library

    Open Source

  5. 276

    NumPy is the fundamental package for scientific computing with Python

    Open Source

  6. 194

    Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

  7. 197

    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.

    Open Source

  8. 175

    Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

  9. 153

    Open source deep learning platform that provides a seamless path from research prototyping to...

    Open Source

  10. 161

    WEKA is a set of powerful data mining tools that run on Java.

  11. 185

    RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

  12. 135

    Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.

  13. 133 is a Hierarchical Temporal Memory implementation in Java, it provide a Java version of NuPIC that has a 1-to-1 correspondence to all systems, functionality and tests provided by Numenta's open source implementation.

  14. 107

    Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

    Open Source


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