ad
concat
ad | concat | |
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6 | 3 | |
364 | 429 | |
- | 0.0% | |
5.9 | 7.3 | |
about 18 hours ago | 2 months ago | |
Haskell | Haskell | |
BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ad
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Is there an implementation of The Simple Essence of Automatic Differentiation (2018)?
Maybe ad?
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Backpropagation and Accelerate
I’ll also link the ad package here in case someone can speak to its value over backprop https://github.com/ekmett/ad
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[ad] Haskell Revitalisation
Apologies in advance for disappointing a few people but the [ad] part in the title doesn't mean Automatic Differentiation but rather means "advertisement".
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Let's Program a Calculus Student II: Turning Symbolic Differentiation Automatic
Hi everybody! A couple weeks ago, I made a blog post talking about how recursion and pattern matching could be used to translate Calculus formulas into Haskell. This is a follow-up exploring how to use automatic differentiation to calculate those same derivatives as an example of cool stuff that polymorphism allows us to do. (I learned this idea from the ad package and really fell in love with how elegant it is)
- Monthly Hask Anything (March 2022)
- What are some ways I could tickle my (beginner) haskell-brain with something *useful*?
concat
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Code generation with Haskell itself as the DSL
One step further is then (Compiling to Categories)[https://github.com/compiling-to-categories/concat] which tries to make the previous approach more convenient. It aims to overload any Haskell function from a -> b into a Category a b. Then, typeclass instances are used to transfrom those functions into virtually anything. While this project is very interesting, it is probably the most experimental one. You can also take a look at the overloaded package or at this novel categorifier plugin.
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Is there an implementation of The Simple Essence of Automatic Differentiation (2018)?
I believe it is here: https://github.com/compiling-to-categories/concat
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Alternative to arrows?
I still dream of an Arrow-inspired contender to the throne of do notation (both for Monads and Applicatives), but proc isn't it, at least not with its current desugaring. Even more exciting to think about a variant of proc that does some concat-like magic and replaces arr with something that still allows complex data routing while exposing more structure than an opaque a -> b.
What are some alternatives?
modular-arithmetic - A useful type for working with integers modulo some constant.
categorifier - Interpret Haskell programs into any cartesian closed category.
roots - 1-dimensional root-finding algorithms in Haskell
knossos-ksc - Compiler with automatic differentiation
nimber - Finite nimber arithmetic
kernmantle - Braiding extensible effects together in a pipeline/workflow of tasks
moving-averages
search - infinite search in finite time with Hilbert's epsilon
gamma - Haskell implementation of gamma and incomplete gamma functions
jalla - Just another library for linear algebra (Haskell)
gsl-random - Haskell bindings to the GSL random number generators and distribution functions
diagrams-solve - Miscellaneous solver code for diagrams (low-degree polynomials, tridiagonal matrices)