Search Results for "java machine learning library" - Page 3
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Showing 59 open source projects for "java machine learning library"
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A bridge to the Java virtual machine via JNI for Haskell (and perhaps later other functional lanaguages).
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Lino is a suite of Python packages for IT professionals who offer business applications for small and medium-sized enterprises.
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kissme is a free (GPLed) Java Virtual Machine. It is being developed on GNU/Linux and can run console java applications. kissme is to be used with the GNU Classpath java class library. kissme also provides support for orthogonally persistent java.
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Echidna is a "multiprocess system" for running multiple Java applications in the same virtual machine.
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SyncBuilder is a framework that allows you to develop synchronization applications between a host machine running Java 1.1 or higher, and a Palm device. It is a complete replacement for Palm's HotSync Manager.
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JIDD is a platform/Configuration independent installationless desktop environment written in Java. Allows a complete "installation" of java softwares to be moved from one machine to another and used "as it". That means your desktop bec
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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
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Learning Microprocessors
For those interested in learning about Microprocessors
A self paced Microprocessor course for those with no Microprocessor experience but who wish to learn about and build devices with them. Starting with a early Microprocessor, the Intel 8085 and providing a Java based 8085 simulator and a PDF handbook the student may work thru assembly/machine code examples to gain understanding. Other on-line book links are provided. Finishing with a modern Micro-controller, the ARM Cortex-M0 based STM32F051. -
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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.
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