Merge remote-tracking branch 'josephmisiti/master'

README.md

@@ -3,7 +3,7 @@
 A curated list of awesome machine learning frameworks, libraries and software (by language). Inspired by awesome-php.
 
 If you want to contribute to this list (please do), send me a pull request or contact me [@josephmisiti](https://twitter.com/josephmisiti)
-Also, when you noticed that listed repository should be deprecated.
+Also, a listed repository should be deprecated if:
 
 * Repository's owner explicitly say that "this library is not maintained".
 * Not committed for long time (2~3 years).
@@ -104,6 +104,8 @@ For a list of free machine learning books available for download, go [here](http
     - [General-Purpose Machine Learning](#scala-general-purpose)
 - [Swift](#swift)
     - [General-Purpose Machine Learning](#swift-general-purpose)
+- [TensorFlow](#tensor)
+    - [General-Purpose Machine Learning](#tensor-general-purpose)
 - [Credits](#credits)
 
 <!-- /MarkdownTOC -->
@@ -307,6 +309,7 @@ For a list of free machine learning books available for download, go [here](http
 * [ClearTK](https://code.google.com/p/cleartk/) - ClearTK provides a framework for developing statistical natural language processing (NLP) components in Java and is built on top of Apache UIMA.
 * [Apache cTAKES](http://ctakes.apache.org/) - Apache clinical Text Analysis and Knowledge Extraction System (cTAKES) is an open-source natural language processing system for information extraction from electronic medical record clinical free-text.
 * [ClearNLP](http://www.clearnlp.com) - The ClearNLP project provides software and resources for natural language processing. The project started at the Center for Computational Language and EducAtion Research, and is currently developed by the Center for Language and Information Research at Emory University. This project is under the Apache 2 license.
+* [CogcompNLP](https://github.com/IllinoisCogComp/illinois-cogcomp-nlp) - This project collects a number of core libraries for Natural Language Processing (NLP) developed in the University of Illinois' Cognitive Computation Group, for example `illinois-core-utilities` which provides a set of NLP-friendly data structures and a number of NLP-related utilities that support writing NLP applications, running experiments, etc, `illinois-edison` a library for feature extraction from illinois-core-utilities data structures and many other packages.
 
 <a name="java-general-purpose" />
 #### General-Purpose Machine Learning
@@ -333,6 +336,7 @@ For a list of free machine learning books available for download, go [here](http
 * [SystemML](https://github.com/apache/incubator-systemml) - flexible, scalable machine learning (ML) language.
 * [WalnutiQ](https://github.com/WalnutiQ/WalnutiQ) - object oriented model of the human brain
 * [Weka](http://www.cs.waikato.ac.nz/ml/weka/) - Weka is a collection of machine learning algorithms for data mining tasks
+* [LBJava](https://github.com/IllinoisCogComp/lbjava/) - Learning Based Java is a modeling language for the rapid development of software systems, offers a convenient, declarative syntax for classifier and constraint definition directly in terms of the objects in the programmer's application. 
 
 #### Speech Recognition
 * [CMU Sphinx](http://cmusphinx.sourceforge.net/) - Open Source Toolkit For Speech Recognition purely based on Java speech recognition library.
@@ -768,6 +772,7 @@ on MNIST digits[DEEP LEARNING]
 * [MXNet](https://github.com/dmlc/mxnet) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more.
 * [milk](https://github.com/luispedro/milk) - Machine learning toolkit focused on supervised classification.
 * [TFLearn](https://github.com/tflearn/tflearn) - Deep learning library featuring a higher-level API for TensorFlow.
+* [REP](https://github.com/yandex/rep) - an IPython-based environment for conducting data-driven research in a consistent and reproducible way. REP is not trying to substitute scikit-learn, but extends it and provides better user experience.
 
 <a name="python-data-analysis" />
 #### Data Analysis / Data Visualization
@@ -926,7 +931,7 @@ on MNIST digits[DEEP LEARNING]
 * [deeplearn-rs](https://github.com/tedsta/deeplearn-rs) - deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license.
 * [rustlearn](https://github.com/maciejkula/rustlearn) - a machine learning framework featuring logistic regression, support vector machines, decision trees and random forests.
 * [rusty-machine](https://github.com/AtheMathmo/rusty-machine) - a pure-rust machine learning library.
-* [leaf](https://github.com/autumnai/leaf) - open source framework for machine intelligence, sharing concepts from TensorFlow and Caffe.  Available under the MIT license.
+* [leaf](https://github.com/autumnai/leaf) - open source framework for machine intelligence, sharing concepts from TensorFlow and Caffe.  Available under the MIT license. [**[Deprecated]**](https://medium.com/@mjhirn/tensorflow-wins-89b78b29aafb#.s0a3uy4cc)
 * [RustNN](https://github.com/jackm321/RustNN) - RustNN is a feedforward neural network library.
 
 
@@ -1118,6 +1123,13 @@ on MNIST digits[DEEP LEARNING]
   It currently allows using deep convolutional neural network models trained in Caffe on Apple operating systems.
 * [AIToolbox](https://github.com/KevinCoble/AIToolbox) - A toolbox framework of AI modules written in Swift:  Graphs/Trees, Linear Regression, Support Vector Machines, Neural Networks, PCA, KMeans, Genetic Algorithms, MDP, Mixture of Gaussians.
 
+<a name="tensor" />
+## TensorFlow
+
+<a name="tensor-general-purpose" />
+#### General-Purpose Machine Learning
+* [Awesome TensorFlow](https://github.com/jtoy/awesome-tensorflow) - A list of all things related to TensorFlow
+
 <a name="credits" />
 ## Credits