awesome
/
machine-learning
mirror of https://github.com/josephmisiti/awesome-machine-learning.git
1
0
Fork 0
Code

add Common Lisp

This commit is contained in:
Gábor Melis 2015-01-27 14:32:39 +01:00
parent 213de30c24
commit 160c1c95d1
1 changed files with 12 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

12
README.md
View File

@ -17,6 +17,8 @@ For a list of free machine learning books available for download, go [here](http
- [General-Purpose Machine Learning](#cpp-general-purpose)
- [Natural Language Processing](#cpp-nlp)
- [Sequence Analysis](#cpp-sequence)
- [Common Lisp](#common-lisp)
- [General-Purpose Machine Learning](#common-lisp-general-purpose)
- [Clojure](#clojure)
- [Natural Language Processing](#clojure-nlp)
- [General-Purpose Machine Learning](#clojure-general-purpose)
@ -142,6 +144,16 @@ For a list of free machine learning books available for download, go [here](http
#### Sequence Analysis
* [ToPS](https://github.com/ayoshiaki/tops) - This is an objected-oriented framework that facilitates the integration of probabilistic models for sequences over a user defined alphabet.
<a name="common-lisp" />
## Common Lisp
<a name="common-lisp-general-purpose" />
#### General-Purpose Machine Learning
* [mgl](https://github.com/melisgl/mgl/) - Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes
* [mgl-gpr](https://github.com/melisgl/mgl-gpr/) - Evolutionary algorithms
* [cl-libsvm](https://github.com/melisgl/cl-libsvm/) - Wrapper for the libsvm support vector machine library
<a name="clojure" />
## Clojure