accelerate
dhall
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accelerate | dhall | |
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9 | 10 | |
886 | 898 | |
0.5% | 0.3% | |
5.3 | 7.3 | |
15 days ago | 7 days ago | |
Haskell | Dhall | |
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.
accelerate
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Should I use newer ghc?
Someone has opened a PR for accelerate here https://github.com/AccelerateHS/accelerate/pull/525 (sadly seems not actively maintained at the moment, but that can always change if people care enough). I agree for an executable you should freeze your dependencies and compiler version, and using 8.10 is fine. Although there are tons of improvements in 9.2+
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Haskell deep learning tutorials [Blog]
Backprop is a neat library. However, I guess its use case is if you actually don't want to go for anything standard like Torch or TF (perhaps for research?) For instance, if I were to use something like Accelerate for GPU acceleration, or some other computation-oriented library, then I would mix it with Backprop. Previously, I have benefited from Backprop in a ConvNet tutorial and I liked it.
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I made a petition to get the accelerate project for Haskell some funding.
Wait, really? Here's a conversation I had with him: https://github.com/AccelerateHS/accelerate/discussions/528
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Who is researching array languages these days?
I know Accelerate is being developed at Utrecht University in the Netherlands. You can look at publications by Trevor McDonell to get a taste of what they are doing.
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Next Decade in Languages: User Code on the GPU
I’m personally a big fan of http://www.acceleratehs.org / https://github.com/AccelerateHS/accelerate-llvm
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Introduction to Doctests in Haskell
Looking for a few projects that make use of it, I found accelerate, hawk, polysemy and pretty-simple, so I'll be interested to poke around in their code and see how they have things set up.
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Monthly Hask Anything (March 2022)
There's accelerate for GPU computing and hmatrix for bindings to BLAS and LAPACK.
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Idris2+WebGL, part #12: Linear algebra with linear types... not great
I'm toying with the idea of replacing vector values with vector generators, where e.g. v1 + v2 is not evaluated to a new vector, but to a vector program. This is similar to the approaches of Accelerate and TensorFlow. On the flip side, I don't think I could get rid of the overhead, and I expect much smaller computation loads than aforementioned libraries, so overheads could be very significant. The added benefit of using vector generators is that the generator could not only be evaluated, but also be turned into a Latex formula.
dhall
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Why Functional Programming Should Be the Future of Software
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If you mean installing Dhall's dependencies (https://github.com/dhall-lang/dhall-haskell/blob/master/dhal...), those aren't too crazy, but they're definitely not all "beginner level". Template Haskell in particular is quite heavyweight.
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Dhall: A Gateway Drug to Haskell
Ok, lets be specific. Lets write a comment to explain this function:
https://github.com/dhall-lang/dhall-haskell/blob/master/dhal...
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Nix: An idea whose time has come
I haven't tried it but apparently you can compile to Nix from Dhall:
> You can use this compiler to program Nix using the Dhall language. This package targets people who wish Nix had a type system.
https://github.com/dhall-lang/dhall-haskell/tree/master/dhal...
- Usage Of Cryptonite Library In GHCJS
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How to Learn Nix
If the problem is the syntax and people wants some other format that compiles to nix, there's dhall
https://dhall-lang.org/
https://github.com/dhall-lang/dhall-haskell/tree/master/dhal...
https://www.haskellforall.com/2017/01/typed-nix-programming-...
Dhall is a generic config language with some programming capabilities (but not turing complete) that can compile to json, yaml, and other formats, like in this instance nix.
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Google Summer of Code Summary: Dhall bindings to CSV
For my GSoC project, I built from scratch the dhall-csv package on the Dhall Haskell implementation Github Repository. Said package provides two executables, dhall-to-csv (which converts Dhall files into CSV files) and csv-to-dhall (which converts CSV files into Dhall files). It also provides Haskell libraries with the functions that translate bidirectionally between Dhall and CSV.
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Wuffs the Language
> If you add constraints (like not being able to feed the program to itself as is done in the halting problem and not allowing unbounded loops) then it is possible to determine if a program will terminate or not.
Dhall is a good example - https://github.com/dhall-lang/dhall-haskell .
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INTERCAL, YAML, And Other Horrible Programming Languages
See also https://dhall-lang.org/
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Common Nginx misconfigurations that leave your web server open to attack
That just seems like an even greater nightmare to me. Soon you would have to learn to read and understand a custom program in a Turing-complete language for each and every installation.
The proper solution is a DSL, just a better DSl. Or perhaps a DSL embedded in something like dhall <https://dhall-lang.org/>, but definitely not a general-purpose programming language.
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i want that
Dhall
What are some alternatives?
accelerate-bignum - Fixed-length large integer arithmetic for Accelerate
dhall-nix
accelerate-cuda - DEPRECATED: Accelerate backend for NVIDIA GPUs
hyper-haskell-server - The strongly hyped Haskell interpreter.
haste-compiler - A GHC-based Haskell to JavaScript compiler
accelerate-fft - FFT library for Haskell based on the embedded array language Accelerate
egison - The Egison Programming Language
feldspar-compiler - This is the compiler for the Feldspar Language.
hLLVM
binaryen - DEPRECATED in favor of ghc wasm backend, see https://www.tweag.io/blog/2022-11-22-wasm-backend-merged-in-ghc
fst - Haskell package for construction and running of finite state transducers.