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mlr3.mlr-org.com favicon

Streamline machine learning workflows in R

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mlr3 is an R package for efficient, object-oriented machine learning, offering scalable tools for tasks, learners, and data handling in R.

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Deploy ML models on any hardware easily

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Apache TVM is an open-source machine learning compiler framework that helps you deploy models efficiently on CPUs, GPUs, and specialized accelerators.

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Discover AI breakthroughs in healthcare research

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Explore cutting-edge research in machine learning and AI for medicine from the van der Schaar Lab at the University of Cambridge.

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Segment images with interactive machine learning

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ilastik lets you segment, classify, and analyze images using interactive machine learning—no coding or ML expertise needed, ideal for scientific data.

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Easily build and manage ML and data science projects

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Metaflow is an open-source framework that helps you easily build, manage, and scale real-life machine learning and data science projects.

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Scale Python and ML apps with ease

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Ray is an open source platform to build, scale, and manage machine learning and Python applications with easy-to-use tools and libraries.

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Build machine learning models in Python easily

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Scikit-learn offers easy-to-use machine learning tools for Python, with clear guides and examples to help you build, test, and deploy models.

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Accelerate AI training and inference anywhere

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ONNX Runtime speeds up machine learning training and inference across platforms, helping you optimize AI models with your existing tech stack.

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Learn and use LightGBM with clear guides and APIs

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Explore LightGBM’s official documentation for guides, tutorials, and API references on this fast, distributed gradient boosting framework for machine learning.

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Build and deploy decision forest models easily

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Explore YDF documentation to learn how to train, evaluate, and deploy decision forest models like Random Forests using this open-source machine learning library.

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