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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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Attri helps companies become AI-first organizations with research in the AI field, designing and applying AI processes, platforms, and solutions for success.
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AI-powered collaborative research environment. You can use it to get recommendations of articles based on reading history, simplify papers, find out what articles are trending, search articles by meaning (not just keywords), and so on.
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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. .