Download JAR files tagged by machine with all dependencies

GLUE is a Java library that simplifies asynchronous communication between heterogeneous software components. It supports various exchangeable transport protocols such that data can be easily transmitted in every situation: within a single Java virtual machine (in-memory); over the wire (IP socket); or even within a chat procolol (XMPP).

Evaluates the worth of an attribute by using an SVM classifier. Attributes are ranked by the square of the weight assigned by the SVM. Attribute selection for multiclass problems is handled by ranking attributes for each class seperately using a one-vs-all method and then "dealing" from the top of each pile to give a final ranking. For more information see: I. Guyon, J. Weston, S. Barnhill, V. Vapnik (2002). Gene selection for cancer classification using support vector machines. Machine Learning. 46:389-422.

Implements Winnow and Balanced Winnow algorithms by Littlestone. For more information, see N. Littlestone (1988). Learning quickly when irrelevant attributes are abound: A new linear threshold algorithm. Machine Learning. 2:285-318; N. Littlestone (1989). Mistake bounds and logarithmic linear-threshold learning algorithms. University of California, Santa Cruz. Does classification for problems with nominal attributes (which it converts into binary attributes)

Feature selection method based on correlation measureand relevance and redundancy analysis. Use in conjunction with an attribute set evaluator (SymmetricalUncertAttributeEval). For more information see: Lei Yu, Huan Liu: Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution. In: Proceedings of the Twentieth International Conference on Machine Learning, 856-863, 2003.

IzPack is an installers generator for the Java platform. It produces lightweight installers that can be run on any operating system where a Java virtual machine is available. Depending on the operating system, it can be launched by a double-click or a simple 'java -jar installer.jar' on a shell. The most common use is to distribute applications for the Java platform, but you can also use it for other kinds of projects. The main benefit of IzPack is that it provides a clean and unique way of distributing a project to users using different operating systems.

This repository provides a guidance on integrating an Android app with a myPOS Glass payment solution. Once integrated, the app will be able to communicate and call the main myPOS Glass functionalities in order to accept card payments (Limited to VISA and Mastercard). myPOS-Glass-SDK is a bridge between the applications and myPOS Glass app, converting the smart device into a POS machine, allowing to initiate transaction, complete all steps for processing payment, make refund to the customer card account and send a custom bill slip via mail or SMS. The built-in functionalities of myPOS-Glass-SDK allows you to accept payments, make refunds and void the last approved transaction.

This repository provides a guidance on integrating an Android app with a myPOS Glass payment solution. Once integrated, the app will be able to communicate and call the main myPOS Glass functionalities in order to accept card payments (Limited to VISA and Mastercard). myPOS-Glass-SDK is a bridge between the applications and myPOS Glass app, converting the smart device into a POS machine, allowing to initiate transaction, complete all steps for processing payment, make refund to the customer card account and send a custom bill slip via mail or SMS. The built-in functionalities of myPOS-Glass-SDK allows you to accept payments, make refunds and void the last approved transaction.

Azure Video Analyzer provides a platform to build intelligent video applications that span the edge and the cloud. The platform offers the capability to capture, record, and analyze live videos along with publishing the results, video, and video analytics, to Azure services in the cloud or the edge. It is designed to be an extensible platform, enabling you to connect different video analysis edge modules such as Cognitive services containers, custom edge modules built by you with open-source machine learning models or custom models trained with your own data. You can then use them to analyze live video without worrying about the complexity of building and running a live video pipeline. Use the client library for Video Analyzer Edge to simplify interactions with the Microsoft Azure IoT SDKs (https://github.com/azure/azure-iot-sdks) and programmatically construct pipeline topologies and live pipelines.

Rule Learner is an open source Java library for learning business rules from historical data. It supports supervised Machine Learning by incorporating well-known algorithms such as RIPPER and C4.5 provided by open source tools such as Weka. Rule Learner is implemented as a Machine Learning component of OpenRules Decision Manager. It allows business analysts to place their historical data in simple Excel tables and to automatically discover business rules that find certain pattern in this data. The generated rules are human readable and presented in Excel format executable by OpenRules Decision Manager.

The Systems Biology Simulation Core Library provides an efficient and exhaustive Java™ implementation of methods to interpret the content of models encoded in the Systems Biology Markup Language (SBML) and its numerical solution. This library is based on the JSBML project. It can be used on every operating system for which a Java Virtual Machine is available. Version 2.0 and beyond support simulation in three frameworks: constraint-based analysis, stochastic simulation, and ordinary differential equation systems. SBSCL supports SED-ML and COMBINE archives in OMEX format.