Machine Learning Tools
The best Machine Learning Tools based on votes, our collection of reviews, verified products and a total of 132 factors.
Best Machine Learning Tools in 2024
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Type-safe feature flags, A/B testing, analytics and app configuration, with Git-style version control and local, synchronous, in-memory flag evaluation
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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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LaunchDarkly is a powerful development tool which allows software developers to roll out updates and new features.
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A/B testing you'll actually use.
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Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source.
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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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scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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Open source deep learning platform that provides a seamless path from research prototyping to...
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ConfigCat is a developer-centric feature flag service with unlimited team size, awesome support, and a reasonable price tag.
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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 Open Source A/B Testing Platform
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A modern and intuitive product experimentation platform
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Machine Learning Operationalization