- array-operations VS dense-arrays
- array-operations VS polisher
- array-operations VS physical-quantities
- array-operations VS cepl
- array-operations VS numcl
- array-operations VS common-lisp-stat
- array-operations VS lisp-matrix
- array-operations VS april
- array-operations VS cl-cuda
- array-operations VS Petalisp
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array-operations reviews and mentions
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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]
array-operations - a collection of functions and macros for manipulating Common Lisp arrays and performing numerical calculations with them. [MIT][200].
Stats
bendudson/array-operations is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of array-operations is Common Lisp.
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