common-lisp-stat
numcl
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| common-lisp-stat | numcl | |
|---|---|---|
| 2 | 9 | |
| 170 | 625 | |
| - | 0.3% | |
| 0.0 | 0.0 | |
| over 4 years ago | 6 months ago | |
| Common Lisp | Common Lisp | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
common-lisp-stat
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Lisp-stat: An environment for Statistical Computing
Right, from my understanding, Lisp-Stat originated with Luke Tierney.
The latest efforts to extend and work with those ideas/code base are at https://github.com/blindglobe/common-lisp-stat and work by Tamas Papp (https://tamaspapp.eu/post/orphaned-lisp-libraries/)
Forking open source code is fine, but why try to take over the name?
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cbaggers/rtg-math - a selection of the math routines most commonly needed for making realtime graphics in lisp (2, 3 and 4 component vectors, 3x3 and 4x4 matrices, quaternions, spherical and polar coordinates). [2019]
common-lisp-stat - Common Lisp statistics library. [FreeBSD][39].
numcl
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How fast can you multiply matrices using only common lisp?
Is it me or numcl is faster than magicl? Matrix multiplication on magicl with pure lisp backend is
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Rewrite Your Scripts In LISP - with Roswell
Interesting, I will, thanks! I am aware of numcl for CL, but I don't think it is "there" yet :).
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Good Lisp libraries for math
The first that comes to mind is numcl. This works if (i) performance is not seriously a concern, (ii) you are not annoyed by julia-like JIT/JAOT compilation delays, (iii) copy-based slicing won't be a performance issue for you. To be fair, limitation (i) might be overcome by writing a better (simd-based) backend for numcl. numcl is fast, it compiles to fairly good code, but simd can boost the performance by another 4-8 times or so.
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Efficiently/easily sample from a list - any existing alternative?
am I missing something that already exists (numcl / Alexandria / core language, etc?)
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Lisp as an Alternative to Java (2000)
>Either implement numpy equivalent on your own or half of your code is data massaging data between libraries
I haven't tested this but here you go:
https://github.com/numcl/numcl
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Machine Learning in Lisp
Personally, I've been relying on the stream-based method using py4cl/2, mostly because I did not - and perhaps do not - have the knowledge and time to dig into the CFFI based method. The limitation is that this would get you less than 10000 python interactions per second. That is sufficient if you will be running a long running python task - and I have successfully run trivial ML programs using it, but any intensive array processing gets in the way. For this later task, there are a few emerging libraries like numcl and array-operations without SIMD (yet), and numericals using SIMD. For reasons mentioned on the readme, I recently cooked up dense-arrays. This has interchangeable backends and can also use cl-cuda. But barring that, the developer overhead of actually setting up native-CFFI ecosystem is still too high, and I'm back to py4cl/2 for tasks beyond array processing.
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cbaggers/rtg-math - a selection of the math routines most commonly needed for making realtime graphics in lisp (2, 3 and 4 component vectors, 3x3 and 4x4 matrices, quaternions, spherical and polar coordinates). [2019]
numcl - Numpy clone in Common Lisp. [LGPL3][9].
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SBCL: New in Version 2.1.0
[3] https://github.com/numcl/numcl
What are some alternatives?
april - The APL programming language (a subset thereof) compiling to Common Lisp.
cl-cuda - Cl-cuda is a library to use NVIDIA CUDA in Common Lisp programs.
cepl - Code Evaluate Play Loop
physical-quantities - A common lisp library that provides a numeric type with optional unit and/or uncertainty for computations with automatic error propagation.
lisp-matrix - A matrix package for common lisp building on work by Mark Hoemmen, Evan Monroig, Tamas Papp and Rif.
cl-geometry - Common Lisp package for simple two dimensional computational geometry.
Petalisp - Elegant High Performance Computing
polisher - Infix notation to S-expression (Polish notation) translator for Common Lisp
cl-containers - Containers Library for Common Lisp
lisp-stat - Lisp-Stat main system
magicl - Matrix Algebra proGrams In Common Lisp.