High-level library overview
Typed neural networks live demo
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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