Alternatives and similar repositories for reinforce

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

• mstksg / backprop-learn
  Combinators and types for easily building trainable neural networks using the backprop library
  ☆33Updated 5 years ago
• arrayfire / arrayfire-haskell
  Haskell bindings to ArrayFire
  ☆60Updated 7 months ago
• achirkin / easytensor
  Many-dimensional type-safe numeric ops
  ☆46Updated 3 years ago
• idontgetoutmuch / NumMethHaskell
  Numerical Methods in Haskell with Applications to Data Analysis, Finance and Physics
  ☆57Updated 4 years ago
• abarbu / haskell-torch
  Practical Deep Learning in Haskell now!
  ☆52Updated 2 years ago
• jtobin / deanie
  An embedded probabilistic programming language.
  ☆34Updated 8 years ago
• o1lo01ol1o / diffhask
  DSL for forward and reverse mode automatic differentiation in Haskell. Port of DiffSharp.
  ☆28Updated 6 years ago
• mstksg / inCode
  Source for personal blog.
  ☆77Updated 4 months ago
• mstksg / backprop
  Heterogeneous automatic differentiation ("backpropagation") in Haskell
  ☆190Updated 2 months ago
• astanin / moo
  Genetic algorithm library for Haskell. Binary and continuous (real-coded) GAs. Binary GAs: binary and Gray encoding; point mutation; one-…
  ☆59Updated 10 months ago
• bolt12 / laop
  Linear Algebra of Programming - Algebraic Matrices in Haskell
  ☆84Updated 3 months ago
• albertoruiz / hTensor
  Multidimensional arrays and simple tensor computations
  ☆38Updated last year
• brunjlar / neural
  Neural Nets in native Haskell
  ☆124Updated 4 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
• haskell-numerics / random-fu
  A suite of Haskell libraries for representing, manipulating, and sampling random variables
  ☆43Updated last year
• konn / equational-reasoning-in-haskell
  Agda-style equational reasoning in Haskell
  ☆54Updated 4 months ago
• ejconlon / analyze
  making data science easy and safe with data frames in haskell
  ☆27Updated 8 years ago
• con-kitty / categorifier
  Interpret Haskell programs into any cartesian closed category.
  ☆63Updated 2 months ago
• jonascarpay / convoluted
  Dependently typed convolutional neural networks
  ☆35Updated 8 years ago
• andriusstank / downhill
  ☆20Updated 2 years ago
• stephenpascoe / hs-arrow
  Haskell bindings to Apache Arrow
  ☆12Updated 6 years ago
• quickdudley / hfnn
  ☆25Updated 4 years ago
• travitch / haggle
  An efficient graph library for Haskell
  ☆38Updated 2 months ago
• conal / talk-2020-calculating-compilers-categorically
  A talk
  ☆28Updated 4 years ago
• DougBurke / hvega
  Create Vega-Lite visualizations from Haskell.
  ☆56Updated 4 months ago
• Magalame / fastest-matrices
  Benchmark of the main linear algebra libraries in Haskell
  ☆25Updated 5 years ago
• mstksg / tensor-ops
  Type-safe tensor manipulation operations in Haskell with tensorflow-style automatic differentiation
  ☆59Updated 8 years ago
• jtobin / measurable
  An embedded DSL for creating, composing, and using probability measures.
  ☆40Updated 5 years ago
• pechersky / haskell-numpy-docs
  Examples of Haskell versions of Numpy usage
  ☆18Updated 8 years ago
• brunjlar / protop
  topos programming
  ☆31Updated 6 years ago