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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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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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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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Data Annotation Platform.
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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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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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Build & share machine learning apps delightfully.
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Powerful machine learning knowledge discovery platform.
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Caffe is an open source, deep learning framework.
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mlpack is a scalable machine learning library, written in C++.
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The light PyTorch wrapper for high-performance AI research.
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open source, low-code machine learning library in Python.
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IDE for PyTorch and its ecosystem.
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CatBoost - state-of-the-art open-source gradient boosting library with categorical features support, https://catboost.yandex/ #catboost.
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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.
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Get familiar with Polyaxon - Open source machine learning on Kubernetes, deep Learning on Kubernetes.
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AIToolbox is a toolbox of AI modules written in Swift.
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Data lake for machine and deep learning. The fastest dataset management tool for computer vision. .