Search Results for "machine learning platform" - Page 21

A generic finite state machine (FSM) API for the Java platform. The API enables creating a performing FSM at runtime and with type safety. Project also includes a non-blocking context scheduler for running FSMs over multiple contexts.

The Free Connectionist Q-learning Java Framework is an library for developing learning systems. Keywords: qlearning, artificial intelligence, alife, neural nets, neural networks, machine learning, reinforcement learning unsupervised learning agents lejos

Hipo is a hypothetical computer to facilitate the learning of machine language. The student can use hipo to develop simple programs and understand the internal logic of a computer. There is a plan to implement Donald Knuth's MMIX machine language, also.

A Java-written MIPS simulator developed to stimulate people learning the Assembly language. It adds graphics, sounds and user interation to make writing assembly programs more interesting.

Compiler of Lisp programs to a platform-idependent bytecode and the corresponding virtual machine.

Java Virtual System (JVS) is built around a virtual file system (VFS) - a common platform of Java, by Java, for Java. JVS extends JVM and makes it from an interpreter running half-compiled code a first-class server.

Conrad is both a high performance Conditional Random Field engine which can be applied to a variety of machine learning problems and a specific set of models for gene prediction using semi-Markov CRFs.

JSim8086 is platform-independent Assembly Language Simulator of the Intel 8086 CPU. It was designed to be a learning tool (CAL) for first year Computing students who are learning Computer Systems Organisation and Assembly Programming.

KNN-WEKA provides a implementation of the K-nearest neighbour algorithm for Weka. Weka is a collection of machine learning algorithms for data mining tasks. For more information on Weka, see http://www.cs.waikato.ac.nz/ml/weka/.

OpenXL provides a flexible, platform-independent SOA/Web Service middleware and workflow programming language (SLL). OpenXL supports the creation, provisioning and execution of Web Services as well as the integration of code written in BPEL, Java, etc.

MultiBoost is a C++ implementation of the multi-class AdaBoost algorithm. AdaBoost is a powerful meta-learning algorithm commonly used in machine learning. The code is well documented and easy to extend, especially for adding new weak learners.

GrubC is a platform independent C/C++ graphic and GUI library with an object-oriented approach based on a Java Virtual Machine. By now AWT GUI functionality, 2D drawing and turtle graphic is supported.

The binary I/O stream class library presents a platform-independent way to access binary data streams in C++. It transparently converts between machine-internal binary data representation and can be used on arbitrary binary data sources.

open source platform independent cell-processor emulation software.

JHaskell provides a Haskell interpreter and compiler for the JVM. The goal is to make Haskell a viable language for development for the Java platform and also to allow existing Haskell programs to run on the JVM.

The XPS is a scalable platform for meta-programming and domain engineering. It provides a virtual machine, compiler, and runtime library that make it possible to efficiently develop, debug, and run programs based on XPL (eXtensible Programming Language)

EVM is a 32-bit virtual machine designed for easy implementation. It supports bounds checking, real-time linking and JIT compilation on x86 architecture. No platform-specific calls or byte order dependencies. Comes with an optimizing C compiler.

Python SOAP is a free library implementing W3C's SOAP Protocol in the Python programming language. SOAP is an XML-based messaging protocol which is machine- and platform-independent.

Cigol (logic, spelled backwards) is a deductive logic solver. It can be embedded inside a parent program or used from the command line. It has absolutely no relationship to Tom Mitchell's book on Machine Learning.

99% is a collection of Java Native Interface (JNI) multi-platform extensions to the Java virtual machine. These will not necessarily work on every operating system, but will enhance the experience when supported.

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.

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

RELICS is based on the concept that a diverse collection of independent users are likely to make certain types of decisions and predictions better than any one individual or panel of experts. The RELICS platform is the keystone software application that connects and harmonizes all operations of the intelligence process using both human intelligence and biologically inspired learning algorithms to perform intelligence tasks. RELICS users are connected on a peer-to-peer network forming a community intended to meet the high demands of processing, memory, scalability and fault tolerance. ...

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.

gasVM is a 32-bit, register-based virtual machine that has been designed to support a game that the author has undertaken for the development of a game for a game Competition, "Gary's Adventure of Science!" It is designed so that it may one day be implemented and hardware, and is designed to be a RISC machine. While this VM is designed for a single game, it is hoped that it will be useful for others who are looking for a virtual machine platform to embed within their software.