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    Cloud AutoML Alternatives

    Cloud AutoML is described as 'Machine-learning software made by Google' and is an website in the Development category. There are more than 10 alternatives to Cloud AutoML, not only websites but also apps for a variety of platforms, including Mac, Linux, SaaS and Windows. The best alternative is TensorFlow, which is both free and Open Source. Other great sites and apps similar to Cloud AutoML are mlpack (Free, Open Source), Supervisely (Freemium), Label Box (Paid) and Training Mule (Freemium).

    This page was last updated Feb 27, 2021
    • FreemiumProprietary
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    Machine-learning software made by Google.
    Learn more about Cloud AutoML

    1. TensorFlow is an open source software library for machine learning in various kinds of perceptual and language understanding tasks. It was originally developed by the Google and later released under the Apache 2.0 open source license on Nov 9, 2015.
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      • FreeOpen Source
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      mlpack is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features.
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      Supervisely helps people with and without machine learning expertise to create state-of-the-art computer vision applications. We care about entire workflow from raw data to building and deploying neural networks for your special task without coding.
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      A complete solution for your training data problem with fast labeling tools, human workforce, data management, a powerful API and automation features.
    2. Training Mule allows you or your team to easily label images, providing you with the datasets that you require for the best results. With your images labelled, we will train the network of your choice and provide you with the model ready for use.


      • FreeOpen Source
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      Darknet: Open Source Neural Networks in C Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
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    3. A data labeling platform with robust tools for real-time workflow management, providing high-quality data with efficiency
    4. A desktop application with a UX built for through-put, HyperLabel is a complete toolset for quality labeling process management and training data creation.
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      • Software as a Service (SaaS)
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      The platform for computer vision experts to iterate more quickly between data labeling, model training and failure case discovery.
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      • Software as a Service (SaaS)
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      Nanonets uses advanced OCR and Deep Learning to extract relevant information from unstructured text and documents.
    Showing 10 of 13 alternatives