Need advice about which tool to choose?Ask the StackShare community!

Gluon

29
77
+ 1
3
ScalaNLP

2
12
+ 1
0
Add tool

Gluon vs ScalaNLP: What are the differences?

Gluon: Deep Learning API from AWS and Microsoft. A new open source deep learning interface which allows developers to more easily and quickly build machine learning models, without compromising performance. Gluon provides a clear, concise API for defining machine learning models using a collection of pre-built, optimized neural network components; ScalaNLP: A suite of machine learning and numerical computing libraries. ScalaNLP is a suite of machine learning and numerical computing libraries.

Gluon and ScalaNLP can be primarily classified as "Machine Learning" tools.

Some of the features offered by Gluon are:

  • Simple, Easy-to-Understand Code: Gluon offers a full set of plug-and-play neural network building blocks, including predefined layers, optimizers, and initializers.
  • Flexible, Imperative Structure: Gluon does not require the neural network model to be rigidly defined, but rather brings the training algorithm and model closer together to provide flexibility in the development process.
  • Dynamic Graphs: Gluon enables developers to define neural network models that are dynamic, meaning they can be built on the fly, with any structure, and using any of Python’s native control flow.

On the other hand, ScalaNLP provides the following key 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 is an open source tool with 2.91K GitHub stars and 674 GitHub forks. Here's a link to ScalaNLP's open source repository on GitHub.

Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of Gluon
Pros of ScalaNLP
  • 3
    Good learning materials
    Be the first to leave a pro

    Sign up to add or upvote prosMake informed product decisions

    What is Gluon?

    A new open source deep learning interface which allows developers to more easily and quickly build machine learning models, without compromising performance. Gluon provides a clear, concise API for defining machine learning models using a collection of pre-built, optimized neural network components.

    What is ScalaNLP?

    ScalaNLP is a suite of machine learning and numerical computing libraries.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Gluon?
    What companies use ScalaNLP?
      No companies found
      See which teams inside your own company are using Gluon or ScalaNLP.
      Sign up for StackShare EnterpriseLearn More

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with Gluon?
      What tools integrate with ScalaNLP?
      What are some alternatives to Gluon and ScalaNLP?
      TensorFlow
      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.
      Keras
      Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
      Photon
      The fastest way to build beautiful Electron apps using simple HTML and CSS. Underneath it all is Electron. Originally built for GitHub's Atom text editor, Electron is the easiest way to build cross-platform desktop applications.
      PyTorch
      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.
      JavaFX
      It is a set of graphics and media packages that enables developers to design, create, test, debug, and deploy rich client applications that operate consistently across diverse platforms.
      See all alternatives