cepl
array-operations
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cepl | array-operations | |
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14 | 2 | |
844 | 40 | |
- | - | |
0.0 | 2.2 | |
over 1 year ago | almost 2 years ago | |
Common Lisp | Common Lisp | |
BSD 2-clause "Simplified" License | GNU General Public License v3.0 or later |
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cepl
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Graphics libraries in lisp for game development
CEPL is great for something more advanced.
- Why Lisp?
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Lisp feature - domain specific language
https://github.com/cbaggers/cepl (in Common Lisp - graphics and translating to GLSL shaders)
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Using Common Lisp to do GPU accelerated animations
https://github.com/cbaggers/cepl There are a lot of videos of this being used, link is in the project's README.
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May: evaluate APL expressions from Clojure
I used to write software for image generators using GLSL and so I used to do some graphics projects using C, OpenGL, and GLSL. Later I discovered CEPL, which gave me a REPL to do GLSL-like graphics pipelines. That was an improvement but I don't find GLSL fun. But then I discovered April and APL in general and now I can dabble with image processing whenever I feel like it with minimal ceremony.
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Hacker News top posts: Dec 13, 2021
CEPL: A lispy and REPL-friendly Common Lisp library for working with OpenGL\ (8 comments)
- CEPL is a lispy and REPL-friendly Common Lisp library for working with OpenGL.
- CEPL: A lispy and REPL-friendly Common Lisp library for working with OpenGL
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Array programming language(s) for 3d-graphics?
If I was doing a course in computer graphics today I would sidequest with April and CEPL.
array-operations
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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].
What are some alternatives?
lisp-matrix - A matrix package for common lisp building on work by Mark Hoemmen, Evan Monroig, Tamas Papp and Rif.
dense-arrays - Numpy like array object for common lisp
april - The APL programming language (a subset thereof) compiling to Common Lisp.
polisher - Infix notation to S-expression (Polish notation) translator for Common Lisp
libapl-clj - GNU APL native interop for Clojure
physical-quantities - A common lisp library that provides a numeric type with optional unit and/or uncertainty for computations with automatic error propagation.
common-lisp-stat - Common Lisp Statistics -- based on LispStat (Tierney) but updated for Common Lisp and incorporating lessons from R (http://www.r-project.org/). See the google group for lisp stat / common lisp statistics for a mailing list.
numcl - Numpy clone in Common Lisp
vellum - Data Frames for Common Lisp
cl-geometry - Common Lisp package for simple two dimensional computational geometry.