Search Results for "state machine" - Page 2
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Showing 41 open source projects for "state machine"
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Liberator
Liberator is a Clojure library for building RESTful applications
Liberator is a Clojure library designed for building RESTful web APIs in a principled, declarative manner. It abstracts HTTP semantics into resource constructs driven by representational state transfer, allowing deep control over HTTP behavior and content negotiation. Liberator used to be known as compojure-rest. It got renamed in July 2012. Liberator is loosely modeled after WebMachine and shares the same aims as Bishop. The examples in this document rely on you installing Leiningen 2. -
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MITIE
MITIE: library and tools for information extraction
This project provides free (even for commercial use) state-of-the-art information extraction tools. The current release includes tools for performing named entity extraction and binary relation detection as well as tools for training custom extractors and relation detectors. MITIE is built on top of dlib, a high-performance machine-learning library[1], MITIE makes use of several state-of-the-art techniques including the use of distributional word embeddings[2] and Structural Support Vector Machines[3]. ... -
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Face Recognition
World's simplest facial recognition api for Python & the command line
Face Recognition is the world's simplest face recognition library. It allows you to recognize and manipulate faces from Python or from the command line using dlib's (a C++ toolkit containing machine learning algorithms and tools) state-of-the-art face recognition built with deep learning. Face Recognition is highly accurate and is able to do a number of things. It can find faces in pictures, manipulate facial features in pictures, identify faces in pictures, and do face recognition on a folder of images from the command line. ... -
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Caffe
A fast open framework for deep learning
Caffe is an open source deep learning framework that’s focused on expression, speed and modularity. It’s got an expressive architecture that encourages application and innovation, and extensible code that’s great for active development. Caffe also offers great speed, capable of processing over 60M images per day with a single NVIDIA K40 GPU. It’s arguably one of the fastest convnet implementations around. Caffe is developed by the Berkeley AI Research (BAIR)/The Berkeley Vision and... -
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jPTbox
Java Performance Toolbox
The jPTbox is a library designed as a collection of various small tools that can be used in development of Java applications that have strong performance requirements. Including: - watchdog - state-machine - atomic sequencers - statistics counters - TLV - BNF -
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State Controller Library
A C++ framework that implements generalised finite state machines.
The State Controller Library is a generic platform-independent C++ framework that allows finite state machines and multi-action planning generalisations thereof to be realised. The structure and implementation of this library focuses on the application of finite state machines to real-time control loops, but can be reasonably adapted for virtually any other application, even completely unrelated to control systems. An emphasis has been placed on having very low overhead so as not to hurt... -
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instantFSM
C++ inline state machine library
instantFSM is a header-only C++ state machine library. Its goal is to make state machine declaration and use easy enough that it can be integrated into your projects painlessly. Have a look atp the wiki where you will find a tutorial, samples, and a cheatsheet to get accustomed with instantFSM. The only instantFSM header file is downloadable from the files section or you can check it out from the git repository. -
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StatechartJS
Statechart implementation in JavaScript.
Hierarchical state machines implementation in JavaScript heavily inspired by the QP active object framework, see http://www.state-machine.com/. See the README file for details. The implementation is JavaScript engine agnostic and works both in browsers and in NodeJS. -
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AnotherFSM
State machines for Java, FSM.
AnotherFSM is yet another implementation of state machines, a library for Java programming language. -
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Provides fast and convinient way to create and manage hierarchical finite-state machine with orthogonal regions support.
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JUMLStateMachine
Java library implementing a state machine by the UML standard.
JUMLStateMachine is a Java library implementing a state machine by the UML standard. The purpose for the library is to be easily usable for small state machines, yet extendable and scalable for larger and more complex ones. -
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JDCSVParser
Objective-C CSV Parser Example Framework
A simple callback-based parser for tabular data encoded as CSV (Comma Separated Values), written in Objective-C. Slightly heavy-weight as it was meant to not take short-cuts as a full push-down automaton state machine parser. This was initially an experiment in how to build such parsers. -
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The embedded Finite State Machine (FSM) Facility that can be used to model and control a reactive or stateful system. The system can be represented by any number of states. State transitions are driven by a number of events. eFSM is written in C.
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This is an ANSI c compliant library for state machine use. It uses very fast algorithms and includes many features: nested state, history state, parallel state mechanisms and debug capabilities.
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Program to performing the complete cycle of neural networks analysis: preparing data, choosing neural network (CasCor, MP, LogRegression, PNN), learning of network, monitoring learning state, ROC-analysis, optimization of network parameters using GA.
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DBNL
Dynamic Bayesian Network Library
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. The particle based inference can answer arbitrary...