common-lisp-stat
array-operations
Our great sponsors
| common-lisp-stat | array-operations | |
|---|---|---|
| 2 | 2 | |
| 170 | 40 | |
| - | - | |
| 0.0 | 2.2 | |
| over 4 years ago | almost 2 years 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
-
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?
-
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].
array-operations
-
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.
-
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?
april - The APL programming language (a subset thereof) compiling to Common Lisp.
dense-arrays - Numpy like array object for common lisp
cepl - Code Evaluate Play Loop
polisher - Infix notation to S-expression (Polish notation) translator for Common Lisp
physical-quantities - A common lisp library that provides a numeric type with optional unit and/or uncertainty for computations with automatic error propagation.
cl-geometry - Common Lisp package for simple two dimensional computational geometry.
numcl - Numpy clone in Common Lisp
lisp-stat - Lisp-Stat main system
lisp-matrix - A matrix package for common lisp building on work by Mark Hoemmen, Evan Monroig, Tamas Papp and Rif.