hasktorch: Torch for tensors and neural networks in Haskell

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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 Torch and PyTorch. This library leverages cabal v2-build and backpack. *Note that this project is in early development and should only be used by contributing developers. Expect substantial changes to the library API as it evolves. Contributions and PRs are welcome (see details on github).*

Properties

Versions 0.0.1.0, 0.0.1.0
Change log None available
Dependencies base (>=4.7 && <5), dimensions (>=1.0), hasktorch, hasktorch-ffi-th (==0.0.1.*), hasktorch-ffi-thc (==0.0.1.*), hasktorch-indef, hasktorch-signatures-partial (==0.0.1.*), hasktorch-types-th (==0.0.1.*), hasktorch-types-thc (==0.0.1.*), safe-exceptions (>=0.1.0), singletons (>=2.2), text (>=1.2.2) [details]
License BSD-3-Clause
Author Hasktorch dev team
Maintainer Sam Stites <fnz@fgvgrf.vb>, Austin Huang <nhfgvau@nyhz.zvg.rqh> - cipher:ROT13
Category Tensors, Machine Learning, AI
Home page https://github.com/hasktorch/hasktorch#readme
Bug tracker https://github.com/hasktorch/hasktorch/issues
Source repo head: git clone https://github.com/hasktorch/hasktorch
Uploaded by stites at 2018-11-02T00:59:25Z

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cuda

build with THC support

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lite

only build with Double and Long support

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