Search Results for "java machine learning library" - Page 37

Janux is a project to port the java virtual machine directly on top of the Linux kernel using bypassing the traditional posix enviroment. This results in very fast java implementation for linux and and opportinuty to develop java based operating syste

Daemon4J is a helpful ghost for those who - dont like Java startup speed, esp. when the actual program needs only a second - dont know the classpath to use - want to hide Java behind an innocent command line tool - are not ready for the Big Serve

ApMl provides users with the ability to crawl the web and download pages to their computer in a directory structure suitable for a Machine Learning system to both train itself and classify new documents. Classification Algorithms include Naive Bayes, KNN

A Java library for developing board games with a focus on experimenting with different types of machine learning.

Loose intention is to develop a particle engine visualised with Java3D. Along the way various aspects of Java3D will be explored. Hopefully code generated will have benefit to others as a learning base.

GenP Genetic Programming Library is a cross-platform library of genetic programming functions for generic application. Initially it's purpose is for machine learning in board games but should be applicable to any purpose.

xdProf is a tool that captures and analyzes stack traces sent at a fixed interval from Java Virtual Machines in a distributed system. The xdProf client uses a C/C++ Java Virtual Machine Profiling Interface (JVMPI) library and works on many platforms.

The ROSETTA C++ library is a collection of C++ classes and routines that enable discernibility-based empirical modelling and data mining. Comprises useful routines for machine learning in general and for rough set theory in particular.

The Madcap (Machine and Device Capabilities) library allows programmers to break out of Java's "lowest common denominator" approach and take advantage of certain platform specific capabilities without making the program platform dependant.

A framework for building web applications (servlets) in Java. The main emphasis is on state machine based application flow control and user interface componentisation

Sprout is a Java library of classes meant to be useful to anyone learning to program in Java. It contains a variety of utility classes, and a variety of useful classes for testing and debugging Java programs.

JSchematron is a thin wrapper around the official Schematron stylesheets. It is intended to make Schematron transformations and validations from java simple. As such, the main goals are simplicity, ease-of-use and low learning curve.

UnBFuzzy is an API for fuzzy-logic and learning algorithms for fuzzy systems.

Compiler and virtual machine of a new programming language similar to pascal with learning proposals for computer science engineering students.

Using Machine Learning, AraRooter finds the three-lettered root of any Arabic lemma with around 84% accuracy.

lstm network library

Spec is a voice control based on the libraries of Sphinx-4.

Full parameterizable multi-track sound machine for experimental/electronic musicians and sound designers. The software allows full control over ALL parameters, filters, and custom effects. New effects can be added and plugged in at runtime.

Cinefile is a prototype of a category-based method of database exploration. It allows the user to identify abstract categories of films by providing examples of category members, learns to classify films as belonging or not belonging to those categories, and provides a graphical interface for exploring and comparing categories. Cinefile is designed to work with data retrieved from the Internet Movie Database (imdb.com). This data is used for classification and is the subject of the...

DBNL is a cross-platform library that offers a variety of implementations of Bayesian networks and machine learning algorithms. It is a flexible library that covers all aspects of Bayesian netwoks from representation to reasoning and learning. It allows you to create simple static networks as well as complex temporal models with changing structure. It can handle highly non-linear dependencies between multivariate random variables.

Supertagging is a process of statistical lexical disambiguation, preprocessing step to parsing, which assigns LTAG tree categories to the lexical items present in the input sentence. Thus, if the input sentence is in the form of a dependency tree, the task of the supertagger is to assign the most probable TAG family to each node and edge in the dependency tree.

A Garbage Collector implementing an 'Oldest First' algorithm, written in C++ to be integrated with a managed environment(java/CLI). The first current target of the GC is the Apache Harmony JVM.

ScenConnect shows scenarios as networks of situation and event tag sets, for fast comparisons. It links scenarios to tags, scores, and other metadata, creating situationals suitable for search, mining, machine learning, and planning.

Weka++ is a collection of machine learning and data mining algorithm implementations ported from Weka (http://www.cs.waikato.ac.nz/ml/weka/) from Java to C++, with enhancements for usability as embedded components.

A gui based man against machine poker (texas hold them) end user application which will deduce and adapt to the player's strategy.