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).*


Change logNone available
Dependenciesbase (>=4.7 && <5), dimensions (>=1.0), hasktorch, hasktorch-cpu, hasktorch-ffi-th (==0.0.1.*), hasktorch-gpu, hasktorch-types-th (==0.0.1.*), safe-exceptions (>=0.1.0), singletons (>=2.2), text (>=1.2.2) [details]
AuthorHasktorch dev team
MaintainerSam Stites <fnz@fgvgrf.vb>, Austin Huang <nhfgvau@nyhz.zvg.rqh> - cipher:ROT13
CategoryTensors, Machine Learning, AI
Home pagehttps://github.com/hasktorch/hasktorch#readme
Bug trackerhttps://github.com/hasktorch/hasktorch/issues
Source repositoryhead: git clone https://github.com/hasktorch/hasktorch
Executablesmemcheck, isdefinite, isdefinite-gpu, isdefinite-cpu
UploadedFri Nov 2 00:59:25 UTC 2018 by stites





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