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NLTK vs PyTorch: What are the differences?

What is NLTK? It is a leading platform for building Python programs to work with human language data. It is a suite of libraries and programs for symbolic and statistical natural language processing for English written in the Python programming language.

What is PyTorch? A deep learning framework that puts Python first. 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.

NLTK and PyTorch can be categorized as "Machine Learning" tools.

PyTorch is an open source tool with 30.5K GitHub stars and 7.46K GitHub forks. Here's a link to PyTorch's open source repository on GitHub.

STILLWATER SUPERCOMPUTING INC, Suggestic, and cotobox are some of the popular companies that use PyTorch, whereas NLTK is used by Index.co, Athento, and King's Digital Lab. PyTorch has a broader approval, being mentioned in 28 company stacks & 165 developers stacks; compared to NLTK, which is listed in 15 company stacks and 17 developer stacks.

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Pros of NLTK
Pros of PyTorch
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    • 14
      Easy to use
    • 11
      Developer Friendly
    • 10
      Easy to debug
    • 7
      Sometimes faster than TensorFlow

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    Cons of NLTK
    Cons of PyTorch
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      • 3
        Lots of code

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      - No public GitHub repository available -

      What is NLTK?

      It is a suite of libraries and programs for symbolic and statistical natural language processing for English written in the Python programming language.

      What is 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.

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

      What companies use NLTK?
      What companies use PyTorch?
      See which teams inside your own company are using NLTK or PyTorch.
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      What tools integrate with NLTK?
      What tools integrate with PyTorch?

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      What are some alternatives to NLTK and PyTorch?
      SpaCy
      It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.
      Gensim
      It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.
      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/
      See all alternatives