cabal-version: 3.0 name: Synapse version: 0.1.0.0 x-revision: 2 build-type: Simple author: JktuJQ maintainer: odmamontov@gmail.com homepage: https://github.com/JktuJQ/Synapse extra-doc-files: README.md , CHANGELOG.md license: MIT license-file: LICENSE synopsis: Synapse is a machine learning library written in pure Haskell. description: Synapse is a machine learning library written in pure Haskell, that makes creating and training neural networks an easy job. category: Math source-repository head type: git location: https://github.com/JktuJQ/Synapse subdir: common warnings ghc-options: -Wall library import: warnings default-language: Haskell2010 build-depends: base >= 4.17.2.1 && < 4.18.0.0 , vector >= 0.13.2 && < 0.14 , hashable >= 1.4.7 && < 1.5 , unordered-containers >= 0.2.20 && < 0.3 , random >= 1.3.0 && < 1.4 , terminal-progress-bar >= 0.4.2 && < 0.5 hs-source-dirs: src exposed-modules: Synapse -- Tensors , Synapse.Tensors , Synapse.Tensors.Mat , Synapse.Tensors.Vec -- Autograd , Synapse.Autograd -- NN , Synapse.NN , Synapse.NN.Layers , Synapse.NN.Layers.Layer , Synapse.NN.Layers.Initializers , Synapse.NN.Layers.Constraints , Synapse.NN.Layers.Regularizers , Synapse.NN.Layers.Activations , Synapse.NN.Layers.Dense , Synapse.NN.Models , Synapse.NN.Training , Synapse.NN.Batching , Synapse.NN.Losses , Synapse.NN.Metrics , Synapse.NN.LearningRates , Synapse.NN.Optimizers -- other-modules: -- other-extensions: test-suite Synapse-test import: warnings default-language: Haskell2010 type: exitcode-stdio-1.0 build-depends: base >=4.17.2.1 && < 4.18.0.0 , Synapse , random >= 1.3.0 && < 1.4 , HUnit >= 1.6.2 && < 1.7 , easyplot >= 1.0 && < 1.1 hs-source-dirs: test main-is: Main.hs other-modules: TensorsTest , AutogradTest , NNTest -- other-extensions: