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TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
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Build and deploy machine learning models in a simplified way with Azure Machine Learning service. Make machine learning more accessible with automated capabilities.
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Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
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Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
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Democratizing Generative AI. Own your models: generative and predictive. We bring both super powers together with h2oGPT.
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Deep Learning and AI accessible to everyone.
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Multi-sensor labeling platform for robotics and autonomous driving.
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Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.
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The entire process of running Data Science - building Machine Learning algorithm, explaining results and predicting outcomes, packed in one single click.
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Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.
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Data Annotation Platform.
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Developer tools for deep learning research.
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scikit-image is a collection of algorithms for image processing.
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SimpleCV is an open source framework for building computer vision applications.
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Heroku for deep learning.
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Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.
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DigitalGenius brings practical applications of artificial intelligence into the customer service operations of global companies.
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MAChineLearning is a framework that provides a quick and easy way to experiment with machine learning with native code on the Mac.
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We believe that making machine learning accessible represents our greatest opportunity to empower everyday business users.
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Humans helping machines see the world.