Machine-Learning Java General-Purpose Machine Learning
Back
A machine learning library by Airbnb designed from the ground up to be human friendly.A Java Toolbox for Scalable Probabilistic Machine Learning.Machine Learning framework for rapid development of Machine Learning and Statistical applications.Java toolkit for data mining. (unsupervised: clustering, outlier detection etc.)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.Distributed machine learning library in Flink.ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON.General Machine Learning library using Numenta’s Cortical Learning Algorithm.Java version of liblinear.Distributed machine learning.An open source implementation of methods for multi-label classification and evaluation (extension to Weka).Distributed machine learning library in Sparka service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.Neuroph is lightweight Java neural network frameworkLambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.statistics, data mining and machine learning toolbox in Java.RapidMiner integration into Java code.A classifier is a machine learning tool that will take data items and place them into one of k classes.Statistical Machine Intelligence & Learning Engine.flexible, scalable machine learning (ML) language.Weka is a collection of machine learning algorithms for data mining tasks.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.Just a simple implementation of K-Nearest Neighbors algorithm using with a bunch of similarity measures.