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hasktorch: Haskell bindings to libtorch, supporting both typed and untyped tensors.

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Hasktorch is a library for tensors and neural networks in Haskell. It is an independent open source community project which leverages the core C++ libraries shared by PyTorch.

Properties

Versions 0.0.1.0, 0.2.0.0, 0.2.0.0, 0.2.0.1
Change log None available
Dependencies array (>=0.5.5 && <0.6), async (>=2.2.5 && <2.3), base (>=4.7 && <5), bytestring (>=0.11.5 && <0.12), cassava (>=0.5.3 && <0.6), constraints (>=0.14 && <0.15), containers (>=0.6.7 && <0.7), data-default-class (>=0.1 && <0.3), finite-typelits (>=0.1 && <0.3), foldl (>=1.4 && <1.5), ghc-typelits-extra (>=0.4.6 && <0.5), ghc-typelits-knownnat (>=0.7.9 && <0.8), ghc-typelits-natnormalise (>=0.7.9 && <0.8), half (>=0.3 && <0.4), inline-c (>=0.9.1 && <0.10), JuicyPixels (>=3.3 && <3.4), lens-family-core (>=2.1.3 && <2.2), libtorch-ffi (>=2.0 && <2.1), libtorch-ffi-helper (>=2.0 && <2.1), lifted-async (>=0.10.2 && <0.11), megaparsec (>=9.5 && <9.8), monad-control (>=1.0.3 && <1.1), mtl (>=2.3.1 && <2.4), pipes (>=4.3.16 && <4.4), pipes-bytestring (>=2.1.7 && <2.2), pipes-concurrency (>=2.0.14 && <2.1), pipes-csv (>=1.4.3 && <1.5), pipes-group (>=1.0.12 && <1.1), pipes-safe (>=2.3.5 && <2.4), random (>=1.2.1 && <1.3), reflection (>=2.1 && <2.2), safe-exceptions (>=0.1.7 && <0.2), stm (>=2.5.1 && <2.6), template-haskell (>=2.20.0 && <2.21), transformers-base (>=0.4.6 && <0.5), vector (>=0.13 && <0.14), vector-sized (>=1.5 && <1.7), zlib (>=0.6 && <0.8) [details]
License BSD-3-Clause
Copyright 2019 Austin Huang
Author Hasktorch Contributor Team
Maintainer hasktorch@gmail.com
Category Codegen
Home page https://github.com/hasktorch/hasktorch#readme
Uploaded by junjihashimoto at 2024-12-13T05:53:03Z

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