A Programming Language for Deep Learning
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Updated
May 10, 2018 - Haskell
A Programming Language for Deep Learning
Heterogeneous automatic differentiation ("backpropagation") in Haskell
DSL for forward and reverse mode automatic differentiation in Haskell. Port of DiffSharp.
Automatic Differentiation using Pseudo Lenses. Neat.
Reverse-mode automatic differentiation with delimited continuations
Small autodiff lib and a simple working feedforward neural net in Haskell on top of it, from scratch, zero-deps.
Code for understanding automatic differentiation.
Several Haskell packages for numerical optimizations.
Domain Specific Language to perform Automatic Differentiation on Higher Order functions.
Github page for my Masters Thesis.
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