owl
Arraymancer
owl | Arraymancer | |
---|---|---|
5 | 21 | |
1,178 | 1,307 | |
0.7% | - | |
8.2 | 8.2 | |
21 days ago | 3 days ago | |
OCaml | Nim | |
MIT License | Apache License 2.0 |
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owl
- Owl project (OCaml scientific computing) formally concluded
- Understanding Automatic Differentiation in 30 lines of Python
- I Wrote an Activitypub Server in OCaml: Lessons Learnt, Weekends Lost
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Julia 1.6 addresses latency issues
> after some consideration of OCaml, but unfortunately the multi-core story still isn't there yet
It is supposed to land in the release after 4.13, which is the next one.
Regarding the scientific computations library there is Owl[1][2] which now has an almost finished book[3].
[1] https://ocaml.xyz/
[2] https://github.com/owlbarn/owl
[3] https://ocaml.xyz/book/
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A Comparison of Futhark and Dex
The Owl lib for OCaml is pretty interesting
https://github.com/owlbarn/owl
Arraymancer
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Arraymancer – Deep Learning Nim Library
It is a small DSL written using macros at https://github.com/mratsim/Arraymancer/blob/master/src/array....
Nim has pretty great meta-programming capabilities and arraymancer employs some cool features like emitting cuda-kernels on the fly using standard templates depending on backend !
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Go, Python, Rust, and production AI applications
Nim has also a powerful deep learning library called Arraymancer. It's selling point is that you don't have to rewrite your code from research to production. It's used in various machine learning projects, but one recent one that caught my eye was https://github.com/amkrajewski/nimCSO "Composition Space Optimization"
https://github.com/mratsim/Arraymancer
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D Programming Language
- https://github.com/mratsim/Arraymancer/blob/master/src/array...
It's worth noting that nim async/await transformation is fully implemented as a library in macros.
- Prospects of utilising Nim in scientific computation?
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How to write performant Nim?
https://github.com/mratsim/Arraymancer 11. « Premature optimisation is the root of all evil », Donald Knuth, The art of computer Programming It would be quite useful that someone writes one with examples for all these recommendations and more ...
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Deeplearning in Nim?
In particular for deep learning as bobsyourunkl already mentioned there is arraymancer on the one hand and also flambeau on the other. The latter is a Nim wrapper around libtorch (i.e. the PyTorch C++ backend). It is missing things (to be wrapped by adding a few lines) and has some rough edges, but if one needs to get stuff done, it's possible.
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Mastering Nim – now available on Amazon
how are u compiling (optimization, custom compilation flags etc.?) In my case https://github.com/mratsim/Arraymancer big project compile under your 4.2s so or you have like 10k+ lines of codes with macros or you just pass some debug flags to compiler :D
- Nim Version 1.6.6 Released
- The counter-intuitive rise of Python in scientific computing (2020)
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Computer Programming with Nim
We have both raw wrappers for BLAS:
https://github.com/andreaferretti/nimblas
as well as LAPACK:
https://github.com/andreaferretti/nimlapack
For an example, consider calling the least squares routine `dgelsd` in arraymancer:
https://github.com/mratsim/Arraymancer/blob/master/src/array...
wrapped up in a nicer user facing API.
Feel free to hop onto matrix, if you have more questions!
What are some alternatives?
Octavian.jl - Multi-threaded BLAS-like library that provides pure Julia matrix multiplication
nimtorch - PyTorch - Python + Nim
Peroxide - Rust numeric library with R, MATLAB & Python syntax
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
symengine.rs - (Unofficial) Rust wrappers to the C++ library SymEngine, a fast C++ symbolic manipulation library.
nimble - Package manager for the Nim programming language.
db-benchmark - reproducible benchmark of database-like ops
awesome-tensor-compilers - A list of awesome compiler projects and papers for tensor computation and deep learning.
GPU-Puzzles - Solve puzzles. Learn CUDA.
nvim-treesitter - Nvim Treesitter configurations and abstraction layer
micrograd - A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
prologue - Powerful and flexible web framework written in Nim