awesome/machine-learning
1
0
Fork 0
mirror of https://github.com/josephmisiti/awesome-machine-learning.git synced 2024-11-13 11:24:23 -05:00
Code Activity

Merge pull request #131 from jeffreyjackson/patch-1

Browse source 
Update README.md
This commit is contained in:
Joseph Misiti 2015-04-07 10:52:36 -04:00
commit f172b438d7
1 changed files with 6 additions and 6 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

12
README.md
View file

@ -132,10 +132,10 @@ For a list of free machine learning books available for download, go [here](http
* [MIT Information Extraction Toolkit](https://github.com/mit-nlp/MITIE) - C, C++, and Python tools for named entity recognition and relation extraction
* [CRF++](http://crfpp.googlecode.com/svn/trunk/doc/index.html) - Open source implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data & other Natural Language Processing tasks.
* [BLLIP Parser](http://github.com/BLLIP/bllip-parser) - BLLIP Natural Language Parser (also known as the Charniak-Johnson parser)
* [colibri-core](https://github.com/proycon/colibri-core) - C++ library, command line tools, and Python binding for extracting and working with with basic linguistic constructions such as n-grams and skipgrams in a quick and memory-efficient way.
* [ucto](https://github.com/proycon/ucto) - Unicode-aware regular-expression based tokeniser for various languages. Tool and C++ library. Supports FoLiA format.
* [colibri-core](https://github.com/proycon/colibri-core) - C++ library, command line tools, and Python binding for extracting and working with basic linguistic constructions such as n-grams and skipgrams in a quick and memory-efficient way.
* [ucto](https://github.com/proycon/ucto) - Unicode-aware regular-expression based tokenizer for various languages. Tool and C++ library. Supports FoLiA format.
* [libfolia](https://github.com/proycon/libfolia) - C++ library for the [FoLiA format](https://proycon.github.io/folia)
* [frog](https://github.com/proycon/frog) - Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyser.
* [frog](https://github.com/proycon/frog) - Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.
#### Speech Recognition
* [Kaldi](http://kaldi.sourceforge.net/) - Kaldi is a toolkit for speech recognition written in C++ and licensed under the Apache License v2.0. Kaldi is intended for use by speech recognition researchers.
@ -170,7 +170,7 @@ For a list of free machine learning books available for download, go [here](http
* [Clojush](https://github.com/lspector/Clojush) - he Push programming language and the PushGP genetic programming system implemented in Clojure
* [Infer](https://github.com/aria42/infer) - Inference and machine learning in clojure
* [Clj-ML](https://github.com/antoniogarrote/clj-ml) - A machine learning library for Clojure built on top of Weka and friends
* [Encog](https://github.com/jimpil/enclog) - Clojure wrapper for Encog (v3) (Machine-Learning framework that specialises in neural-nets)
* [Encog](https://github.com/jimpil/enclog) - Clojure wrapper for Encog (v3) (Machine-Learning framework that specializes in neural-nets)
* [Fungp](https://github.com/vollmerm/fungp) - A genetic programming library for Clojure
* [Statistiker](https://github.com/clojurewerkz/statistiker) - Basic Machine Learning algorithms in Clojure.
* [clortex](https://github.com/nupic-community/clortex) - General Machine Learning library using Numenta’s Cortical Learning Algorithm
@ -266,7 +266,7 @@ For a list of free machine learning books available for download, go [here](http
* [htm.java](https://github.com/numenta/htm.java) - General Machine Learning library using Numenta’s Cortical Learning Algorithm
* [java-deeplearning](https://github.com/agibsonccc/java-deeplearning) - Distributed Deep Learning Platform for Java, Clojure,Scala
* [JAVA-ML](http://java-ml.sourceforge.net/) - A general ML library with a common interface for all algorithms in Java
* [JSAT](https://code.google.com/p/java-statistical-analysis-tool/) - Numerous Machine Learning algoirhtms for classification, regresion, and clustering.
* [JSAT](https://code.google.com/p/java-statistical-analysis-tool/) - Numerous Machine Learning algorithms for classification, regression, and clustering.
* [Mahout](https://github.com/apache/mahout) - Distributed machine learning
* [Meka](http://meka.sourceforge.net/) - An open source implementation of methods for multi-label classification and evaluation (extension to Weka).
* [MLlib in Apache Spark](http://spark.apache.org/docs/latest/mllib-guide.html) - Distributed machine learning library in Spark
@ -303,7 +303,7 @@ For a list of free machine learning books available for download, go [here](http
* [NLP.js](https://github.com/nicktesla/nlpjs) - NLP utilities in javascript and coffeescript
* [natural](https://github.com/NaturalNode/natural) - General natural language facilities for node
* [Knwl.js](https://github.com/loadfive/Knwl.js) - A Natural Language Processor in JS
* [Retext](http://github.com/wooorm/retext) - Extensible system for analysing and manipulating natural language
* [Retext](http://github.com/wooorm/retext) - Extensible system for analyzing and manipulating natural language
* [TextProcessing](https://www.mashape.com/japerk/text-processing/support) - Sentiment analysis, stemming and lemmatization, part-of-speech tagging and chunking, phrase extraction and named entity recognition.