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A suite of machine learning and numerical computing libraries
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What is ScalaNLP?

ScalaNLP is a suite of machine learning and numerical computing libraries.
ScalaNLP is a tool in the Machine Learning Tools category of a tech stack.
ScalaNLP is an open source tool with 3K GitHub stars and 683 GitHub forks. Here’s a link to ScalaNLP's open source repository on GitHub

ScalaNLP Integrations

Why developers like ScalaNLP?

Here’s a list of reasons why companies and developers use ScalaNLP
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ScalaNLP's Features

  • ScalaNLP is the umbrella project for several libraries:
  • Breeze is a set of libraries for machine learning and numerical computing
  • Epic is a high-performance statistical parser and structured prediction library

ScalaNLP Alternatives & Comparisons

What are some alternatives to ScalaNLP?
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
ML Kit
ML Kit brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package.
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