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Fritz
Fritz

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ScalaNLP
ScalaNLP

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Fritz vs ScalaNLP: What are the differences?

What is Fritz? Mobile machine learning made easy. Fritz is the end-to-end solution for on-device ML. Create ML-powered features in your app with ease and cross-platform support.

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

Fritz and ScalaNLP belong to "Machine Learning Tools" category of the tech stack.

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.

- No public GitHub repository available -

What is Fritz?

Fritz is the end-to-end solution for on-device ML. Create ML-powered features in your app with ease and cross-platform support.

What is ScalaNLP?

ScalaNLP is a suite of machine learning and numerical computing libraries.
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                What are some alternatives to Fritz 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.
                scikit-learn
                scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
                Keras
                Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
                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.
                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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