High-level library overview
Typed neural networks live demo
Library internals
Functional differentiable programming
A library for tensor math and neural networks for functional programmers. Use algebraic data types to represent models, function composition to build neural network composition, generics to automate boilerplate, or (optionally) type-level computations to type neural network dimensions.
Powered by libtorch
libtorch is the C++ library underlying PyTorch, a powerful neural network library for Python. We use code generated bindings to bring thousands of functions and make them available to Haskell, along with support for GPUs and automatic differentiation for all operations.
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We're always looking for new collaborators and contributors who share an interest in making an impact in how machine learning systems are implemented and researched. Join us by emailing [email protected] to request a slack invite.
