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Top 8 AI Open Source Software Libraries

  1. TensorFlow:

    • Description: Deep learning and machine learning framework developed by Google.
    • Github Source Code: TensorFlow
  2. PyTorch:

    • Description: Deep learning library primarily developed by Facebook.
    • Github Source Code: PyTorch
  3. Theano:

    • Description: Python library for efficient evaluation of mathematical expressions.
    • Github Source Code: Theano
  4. Microsoft Cognitive Toolkit (CNTK):

    • Description: Distributed deep learning toolkit by Microsoft.
    • Github Source Code: CNTK
  5. Torch:

    • Description: Lua-based machine learning library by Facebook AI Research.
    • Github Source Code: Torch
  6. OpenCV:

    • Description: Open-source computer vision library for image processing.
    • Github Source Code: OpenCV
  7. scikit-Learn:

    • Description: Data analysis library and machine learning framework.
    • Github Source Code: scikit-learn
  8. OpenNN:

    • Description: C++ library for advanced analytics and neural networks.

Sources:

Top 23 AI Open Source Software Libraries - E2E Networks

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Explore a curated collection of exceptional open-source libraries for generative AI meticulously reviewed or slated for review by The AI Engineer.
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23 Open Source AI Libraries for 2023 - Medium

OpenCV — an open source computer vision tool. PyTorch — an open source machine learning framework. Sci-Kit Learn — an open source machine learning framework. LangChain — an open source ...
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PyTorch. Torch is an open-source machine learning library known for its dynamic computational graph and is favored by researchers. The framework is excellent for prototyping and experimentation. Moreover, it's empowered by growing community support, with tools like PyTorch being built on the library.
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