josephmisiti/awesome-machine-learning
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Adding a bit of Perl

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There should be much more, I know, but what is there is quite
interesting.
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JJ Merelo 2017-05-19 19:39:47 +02:00
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@ -707,6 +707,31 @@ on MNIST digits[DEEP LEARNING]
* [Libra-Tk](http://libra.cs.uoregon.edu) - Algorithms for learning and inference with discrete probabilistic models.
* [TensorFlow](https://github.com/LaurentMazare/tensorflow-ocaml) - OCaml bindings for TensorFlow.
<a name="perl"></a>
## Perl
### Data Analysis / Data Visualization
* [Perl Data Language](https://metacpan.org/pod/Paws::MachineLearning),
a pluggable architecture for data and image processing, which can
be
[used for machine learning](https://github.com/zenogantner/PDL-ML).
### General-Purpose Machine Learning
* [MXnet for Deep Learning, in Perl](https://github.com/dmlc/mxnet/tree/master/perl-package),
also [released in CPAN](https://metacpan.org/pod/AI::MXNet).
* [Paws::MachineLearning](https://metacpan.org/pod/Paws::MachineLearning),
using AWS machine learning platform from Perl.
* [Algorithm::SVMLight](https://metacpan.org/pod/Algorithm::SVMLight),
implementation of Support Vector Machines with SVMLight under it.
* Several machine learning and artificial intelligence models are
included in the [`AI`](https://metacpan.org/search?size=20&q=AI)
namespace. For instance, you can
find [Naïve Bayes](https://metacpan.org/pod/AI::NaiveBayes).
<a name="php"></a>
## PHP