Torch is a scientific computing framework for LuaJIT, offering fast machine learning tools with GPU support and an active community for learning and support.
Torch is a scientific computing framework focused on machine learning, built to be fast and easy to use with LuaJIT and powerful GPU support. Whether you're a researcher, developer, or enthusiast, you can leverage Torch to experiment with a wide range of machine learning algorithms and computational tasks.
The site offers extensive documentation, tutorials, and a community wiki to help you get started and deepen your understanding. With links to support and a vibrant community, Torch makes advanced machine learning accessible and efficient for anyone interested in scientific computing.
Discover websites similar to Torch.ch. Optimized for ultra-fast loading.
mlr3 is an R package for efficient, object-oriented machine learning, offering scalable tools for tasks, learners, and data handling in R.
Apache TVM is an open-source machine learning compiler framework that helps you deploy models efficiently on CPUs, GPUs, and specialized accelerators.
Explore cutting-edge research in machine learning and AI for medicine from the van der Schaar Lab at the University of Cambridge.
ilastik lets you segment, classify, and analyze images using interactive machine learning—no coding or ML expertise needed, ideal for scientific data.
Metaflow is an open-source framework that helps you easily build, manage, and scale real-life machine learning and data science projects.
Ray is an open source platform to build, scale, and manage machine learning and Python applications with easy-to-use tools and libraries.
Scikit-learn offers easy-to-use machine learning tools for Python, with clear guides and examples to help you build, test, and deploy models.
ONNX Runtime speeds up machine learning training and inference across platforms, helping you optimize AI models with your existing tech stack.
Explore LightGBM’s official documentation for guides, tutorials, and API references on this fast, distributed gradient boosting framework for machine learning.
Explore YDF documentation to learn how to train, evaluate, and deploy decision forest models like Random Forests using this open-source machine learning library.
Discover tools and services similar to torch.ch
Explore related tools and services in these categories