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Software Packages for Graphical Models / Bayesian Networks
Software Packages for Graphical Models / Bayesian Networks
Written by Kevin Murphy.
Last updated 31 August 2009.
SciJar Best free Java programs for scientists
Below is a list of free scientific Java programs.\n\nJava scientific packages:\n\n * JabRef - bibliography reference manager\n * jHepWork - a general-purpose data analysis framework\n * JaxoDraw - a program for drawing Feynman diagrams\n * Weka - data mining software\n * ImageJ - image processing package\n * EJS - easy Java simulations\n * DragMath - equation editor\n * JSci - scientific libraries\n * FreeHEP - Java numerical libraries (included in jHepWork)\n * JScience - library for the scientific community\n * Colt - high-performance scientific libraries (included in jHepWork)\n * Encog - a neural network\n * Joone - another neural network framework\n * Neuroph - a neural network framework\n * Night Vision - a planetarium program\n * GraXML - geometric Modeller for handling High Energy Physics experiments\n * Jam - data acquisition and analysis system\n * Interactive Web Physics - physics animation and problem designer tool\n * Interactive Physics Applets - Physics applets for education\n * Virtual Physics - Physics applets\n\nJava tools:\n\n * Eclipse - IDE\n * NetBeans - Java IDE\n * DrJava - a lightweight Java IDE\n * Jython - Python scripting\n * Ant - "Makefile" for Java\n * ProGuard - Java class file shrinker and optimizer\n * JCards - a data manager application\n * Ekit - source HTML editor\n * Jaxe - an XML editor\n * jEdit - mature programmer's text editor\n * RText - another mature programmer's text editor\n * jPicEdit - interactive picture editor for LaTeX and PSTricks\n * LaTeXDraw - PSTricks editor for LateX\n * jFig - rewrite of popular xfig\n
DevMaster.net - 3D Game and Graphics Engines Database
Your source for 3D Game and Graphics Engines. This database is committed to providing you with the most accurate and up-to-date information for current engines around the web. Each engine contains a brief description as well as a list of supported features and general info (platform, API, etc.). Most engines contain reviews/ratings to help you better in your search.
Home | Open Source Initiative
Open source is a development method for software that harnesses the power of distributed peer review and transparency of process. The promise of open source is better quality, higher reliability, more flexibility, lower cost, and an end to predatory vendor lock-in.
The Open Source Initiative (OSI) is a non-profit corporation formed to educate about and advocate for the benefits of open source and to build bridges among different constituencies in the open-source community.
One of our most important activities is as a standards body, maintaining the Open Source Definition for the good of the community. The Open Source Initiative Approved License trademark and program creates a nexus of trust around which developers, users, corporations and governments can organize open-source cooperation.
Scott Hanselman's Ultimate Developer and Power Users Tool List for Windows
Scott Hanselman on Programming, User Experience, The Zen of Computers and Life in General
Languages - Mono
Multiple languages can be used with the Mono platform. The Mono project provides some compilers (C#, Basic, JScript) and there are both open source and commercial compilers that can be used with Mono.
It's important to note that any language that compiles to pure IL should work under Mono. Some languages such as Microsoft's Managed C++ do not always compile to pure IL, so they will not always work as expected, since they are not truly platform independent.
machine learning open source software
Open source tools have recently reached a level of maturity which makes them suitable for building large-scale real-world systems. At the same time, the field of machine learning has developed a large body of powerful learning algorithms for a wide range of applications. Inspired by similar efforts in bioinformatics (BOSC) or statistics (useR), our aim is to build a forum for open source software in machine learning.
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