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.NET for Apache Spark vs ScalaNLP

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.NET for Apache Spark
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ScalaNLP
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.NET for Apache Spark vs ScalaNLP: What are the differences?

Developers describe .NET for Apache Spark as "Makes Apache Spark™ Easily Accessible to .NET Developers". With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. On the other hand, ScalaNLP is detailed as "A suite of machine learning and numerical computing libraries". ScalaNLP is a suite of machine learning and numerical computing libraries.

.NET for Apache Spark and ScalaNLP can be categorized as "Machine Learning" tools.

.NET for Apache Spark and ScalaNLP are both open source tools. It seems that ScalaNLP with 2.91K GitHub stars and 675 forks on GitHub has more adoption than .NET for Apache Spark with 1.11K GitHub stars and 108 GitHub forks.

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What is .NET for Apache Spark?

With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data.

What is ScalaNLP?

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

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    What are some alternatives to .NET for Apache Spark 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.
    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.
    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/
    CUDA
    A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.
    See all alternatives

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