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Top 9 AI Tools in Libraries And Widgets

The best AI Tools within the Libraries And Widgets category - based on our collection of reviews & verified products.

DeepPy MXNet PCV DeepDetect NVIDIA DIGITS Amazon DSSTNE VIGRA Knet

Summary

The top products on this list are DeepPy, MXNet, and Microsoft Cognitive Toolkit. All products here are categorized as: Artificial Intelligence Software. Libraries And Widgets. One of the criteria for ordering this list is the number of mentions that products have on reliable external sources. You can suggest additional sources through the form here.
  1. 1
    DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.

    #Machine Learning #Deep Learning #OCR

  2. 2
    MXNet is a deep learning framework.

    #Data Science And Machine Learning #AI #Online Services

  3. NOTE: Microsoft Cognitive Toolkit has been discontinued.
    Microsoft's deep learning toolkit

    #Productivity #Data Science And Machine Learning #AI

  4. 4

    PCV

    PCV is an open source Python module for computer vision.

    #Image Processing #AI #OCR

  5. DeepDetect is a deep learning API and server that is written in C++11 to makes deep learning easy to work with and integrate into existing applications.
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Machine Learning #Data Labeling

  6. DIGITS (the Deep Learning GPU Training System) is a webapp for training deep learning models.

    #Data Science And Machine Learning #Machine Learning #Data Science Tools 2 social mentions

  7. Deep Scalable Sparse Tensor Network Engine (DSSTNE) is a library for building Deep Learning (DL) and machine learning (ML) models.

    #Data Science And Machine Learning #Machine Learning #OCR

  8. 8
    VIGRA is a computer vision library that puts its main emphasis on flexible algorithms.
    Pricing:
    • Open Source

    #Image Processing #AI #OCR

  9. 9
    Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.

    #Machine Learning #Deep Learning #OCR

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