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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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A generic integrated platformย with a large palette of AI modules. It covers all the Machine Learning operations like : Preprocessing modules,ย Deep Learning algorithms, and more.
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Accessible AI for everyone. AI-powered machine learning platform to clean, transform and model your data, and deploy and manage ML projects, simply, quickly and cost-effectively.
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Free ML Platform for everyone.
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Labelling made easy-training data to build AI/ML models fast.
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JS-Torch is a Deep Learning JavaScript library built from scratch, to closely follow PyTorch's syntax.
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IDE for PyTorch and its ecosystem.
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This may not be the best deep learning framework, but it is a deep learning framework.
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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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A tiny Autograd engine (with a bite! :)).
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Data lake for machine and deep learning. The fastest dataset management tool for computer vision. .