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DiffSharp: Differentiable Tensor Programming Made Simple
DiffSharp offers a tensor library with differentiable programming support, making it easy to build machine learning and optimization solutions in F#.
Build machine learning models with F# tensors
DiffSharp is a library designed to make differentiable programming and tensor operations simple, especially for those working in F#. With this tool, you can create and experiment with machine learning models, handle optimization tasks, and explore probabilistic programming—all using a familiar programming environment.
Whether you’re a researcher, developer, or student, DiffSharp streamlines the process of building and testing advanced models by providing powerful tensor operations and automatic differentiation. Its user-friendly approach helps you focus on your ideas without getting bogged down in low-level details. If you’re interested in machine learning or optimization in F#, this library gives you the flexibility and tools you need to get started quickly.
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