Alternatives and similar repositories for neural

Users that are interested in neural are comparing it to the libraries listed below

• GU-CLASP / TypedFlow
  Typed frontend to TensorFlow and higher-order deep learning
  ☆156Updated 3 years ago
• mstksg / tensor-ops
  Type-safe tensor manipulation operations in Haskell with tensorflow-style automatic differentiation
  ☆59Updated 8 years ago
• mstksg / backprop
  Heterogeneous automatic differentiation ("backpropagation") in Haskell
  ☆192Updated 5 months ago
• JPMoresmau / rnn
  playing with recurrent neural networks
  ☆28Updated 10 years ago
• alpmestan / hnn
  haskell neural network library
  ☆113Updated 8 years ago
• quickdudley / hfnn
  ☆25Updated 5 years ago
• Soostone / hadron
  Construct and run Hadoop MapReduce programs in Haskell
  ☆110Updated 8 years ago
• scravy / bed-and-breakfast
  Matrix operations in 100% pure Haskell
  ☆34Updated last year
• ajtulloch / deeplearning-hs
  ☆54Updated 9 years ago
• tonyday567 / numhask
  A haskell numeric prelude, providing a clean structure for numbers and operations that combine them.
  ☆70Updated 3 months ago
• diffusionkinetics / open
  DiffusionKinetics open-source monorepo
  ☆116Updated 2 years ago
• mstksg / inCode
  Source for personal blog.
  ☆78Updated 2 months ago
• idontgetoutmuch / NumMethHaskell
  Numerical Methods in Haskell with Applications to Data Analysis, Finance and Physics
  ☆57Updated 5 years ago
• ivan-m / graphviz
  Haskell bindings to the Graphviz toolkit
  ☆64Updated 3 years ago
• achirkin / easytensor
  Many-dimensional type-safe numeric ops
  ☆46Updated 3 years ago
• nomeata / ghc-proofs
  Let GHC prove program equations for you
  ☆146Updated 7 years ago
• helq / tensorflow-haskell-deptyped
  Reexporting TensorFlow Haskell with dependent typed functions
  ☆46Updated 6 years ago
• fpco / safe-exceptions
  Safe, consistent, and easy exception handling
  ☆135Updated 2 years ago
• aligusnet / mltool
  Machine Learning Toolbox
  ☆36Updated 7 years ago
• leopiney / tensor-safe
  A Haskell framework to define valid deep learning models and export them to other frameworks like TensorFlow JS or Keras.
  ☆102Updated 2 years ago
• DanBurton / tardis
  ☆110Updated 4 months ago
• michaelt / streaming
  An optimized general monad transformer for streaming applications, with a simple prelude of functions
  ☆107Updated 7 years ago
• diagrams / diagrams-lib
  Diagrams standard library
  ☆140Updated 2 months ago
• aeyakovenko / rbm
  restricted boltzmann machine
  ☆46Updated 9 years ago
• ocramz / sparse-linear-algebra
  Numerical computation in native Haskell
  ☆91Updated 5 years ago
• ekmett / linear
  Low-dimensional linear algebra primitives for Haskell.
  ☆212Updated 4 months ago
• Lysxia / generic-random
  Generic random generators
  ☆81Updated 2 years ago
• haskell / mwc-random
  A very fast Haskell library for generating high quality pseudo-random numbers.
  ☆59Updated 9 months ago
• haskell / fgl
  A Functional Graph Library for Haskell
  ☆196Updated 3 months ago
• nomeata / ghc-justdoit
  A magic typeclass that just does it
  ☆125Updated 3 years ago