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Added Apache Flink and FlinkML

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Charles Menguy 2016-02-04 13:54:50 -05:00
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@ -290,6 +290,7 @@ For a list of free machine learning books available for download, go [here](http
* [ELKI](http://elki.dbs.ifi.lmu.de/) - Java toolkit for data mining. (unsupervised: clustering, outlier detection etc.)
* [Encog](https://github.com/encog/encog-java-core) - An advanced neural network and machine learning framework. Encog contains classes to create a wide variety of networks, as well as support classes to normalize and process data for these neural networks. Encog trains using multithreaded resilient propagation. Encog can also make use of a GPU to further speed processing time. A GUI based workbench is also provided to help model and train neural networks.
* [EvA2](www.ra.cs.uni-tuebingen.de/software/eva2/) - Evolutionary Algorithms Framework with Genetic Algorithm, Differential Evolution, Particle Swarm Optimization, Evolution Strategies, Covariance Matrix Adaptation Evolution Strategy, and more
* [FlinkML in Apache Flink](https://ci.apache.org/projects/flink/flink-docs-master/apis/batch/libs/ml/index.html) - Distributed machine learning library in Flink
* [H2O](https://github.com/h2oai/h2o-3) - ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON.
* [htm.java](https://github.com/numenta/htm.java) - General Machine Learning library using Numenta’s Cortical Learning Algorithm
* [java-deeplearning](https://github.com/deeplearning4j/deeplearning4j) - Distributed Deep Learning Platform for Java, Clojure,Scala
@ -315,6 +316,7 @@ For a list of free machine learning books available for download, go [here](http
<a name="java-data-analysis" />
#### Data Analysis / Data Visualization
* [Flink](http://flink.apache.org/) - Open source platform for distributed stream and batch data processing.
* [Hadoop](https://github.com/apache/hadoop-mapreduce) - Hadoop/HDFS
* [Spark](https://github.com/apache/spark) - Spark is a fast and general engine for large-scale data processing.
* [Impala](https://github.com/cloudera/impala) - Real-time Query for Hadoop
@ -990,6 +992,7 @@ on MNIST digits[DEEP LEARNING]
* [PredictionIO](https://github.com/PredictionIO/PredictionIO) - PredictionIO, a machine learning server for software developers and data engineers.
* [BIDMat](https://github.com/BIDData/BIDMat) - CPU and GPU-accelerated matrix library intended to support large-scale exploratory data analysis.
* [Wolfe](http://www.wolfe.ml/) Declarative Machine Learning
* [Flink](http://flink.apache.org/) - Open source platform for distributed stream and batch data processing.
<a name="scala-general-purpose" />
#### General-Purpose Machine Learning
@ -1002,6 +1005,7 @@ on MNIST digits[DEEP LEARNING]
* [BIDMach](https://github.com/BIDData/BIDMach) - CPU and GPU-accelerated Machine Learning Library.
* [Figaro](https://github.com/p2t2/figaro) - a Scala library for constructing probabilistic models.
* [H2O Sparkling Water](https://github.com/h2oai/sparkling-water) - H2O and Spark interoperability.
* [FlinkML in Apache Flink](https://ci.apache.org/projects/flink/flink-docs-master/apis/batch/libs/ml/index.html) - Distributed machine learning library in Flink
<a name="swift" />
## Swift