hasktorch-zoo: Neural architectures in hasktorch

[ ai, bsd3, library, machine-learning, tensors ] [ Propose Tags ]

Neural architectures, data loading packages, initializations, and common tensor abstractions in hasktorch.

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NameDescriptionDefault
cuda

build with THC support

Disabled
gd

use gd graphics library for loading images

Disabled

Use -f <flag> to enable a flag, or -f -<flag> to disable that flag. More info

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Versions [RSS] 0.0.1.0
Dependencies backprop (>=0.2.5), base (>=4.7 && <5), deepseq (>=1.3.0), dimensions (>=1.0), directory (>=1.3.0), filepath (>=1.4.1), gd, generic-lens, ghc-typelits-natnormalise, hashable (>=1.2.7), hasktorch (>=0.0.1 && <0.0.2), JuicyPixels (>=3.3), microlens (>=0.4.8), mtl (>=2.2.2), mwc-random (>=0.14.0), primitive (>=0.6.3), safe-exceptions (>=0.1.0), singletons (>=2.2), transformers (>=0.5.5), vector (>=0.12.0) [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 2018-11-02T17:31:43Z
Distributions NixOS:0.0.1.0
Downloads 630 total (11 in the last 30 days)
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Status Docs uploaded by user
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