hasktorch-zoo: Neural architectures in hasktorch
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Neural architectures, data loading packages, initializations, and common tensor abstractions in hasktorch.
Properties
| Versions | 0.0.1.0, 0.0.1.0 |
|---|---|
| Change log | None available |
| 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 2018-11-02T17:31:25Z |
Modules
- Torch
- Data
- Loaders
- Torch.Data.Loaders.Cifar10
- Torch.Data.Loaders.Internal
- Torch.Data.Loaders.Logging
- Torch.Data.Loaders.RGBVector
- Torch.Data.Metrics
- Torch.Data.OneHot
- Loaders
- Torch.Initialization
- Models
- Vision
- Torch.Models.Vision.LeNet
- Vision
- Data
Flags
Automatic Flags
| Name | Description | Default |
|---|---|---|
| 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
Downloads
- hasktorch-zoo-0.0.1.0.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
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