Showing 51 open source projects for "state machine editor"

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    Train ML Models With SQL You Already Know

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  • 1
    NLP Architect

    NLP Architect

    A model library for exploring state-of-the-art deep learning

    NLP Architect is an open-source Python library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing and Natural Language Understanding neural networks. The library includes our past and ongoing NLP research and development efforts as part of Intel AI Lab. NLP Architect is designed to be flexible for adding new models, neural network components, data handling methods, and for easy training and running models. NLP Architect is a...
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  • 2
    Forecasting Best Practices

    Forecasting Best Practices

    Time Series Forecasting Best Practices & Examples

    Time series forecasting is one of the most important topics in data science. Almost every business needs to predict the future in order to make better decisions and allocate resources more effectively. This repository provides examples and best practice guidelines for building forecasting solutions. The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in forecasting algorithms to build solutions and operationalize them. Rather than...
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  • 3
    Tensor2Tensor

    Tensor2Tensor

    Library of deep learning models and datasets

    Deep Learning (DL) has enabled the rapid advancement of many useful technologies, such as machine translation, speech recognition and object detection. In the research community, one can find code open-sourced by the authors to help in replicating their results and further advancing deep learning. However, most of these DL systems use unique setups that require significant engineering effort and may only work for a specific problem or architecture, making it hard to run new experiments and...
    Downloads: 1 This Week
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  • 4
    Java Neural Network Framework Neuroph
    Neuroph is lightweight Java Neural Network Framework which can be used to develop common neural network architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.
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    Downloads: 101 This Week
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  • 5
    ChainerRL

    ChainerRL

    ChainerRL is a deep reinforcement learning library

    ChainerRL (this repository) is a deep reinforcement learning library that implements various state-of-the-art deep reinforcement algorithms in Python using Chainer, a flexible deep learning framework. PFRL is the PyTorch analog of ChainerRL. ChainerRL has a set of accompanying visualization tools in order to aid developers' ability to understand and debug their RL agents. With this visualization tool, the behavior of ChainerRL agents can be easily inspected from a browser UI. Environments...
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  • 6
    ZM

    ZM

    A library to handle coroutine and green thread in C

    ZM is a C library to handle continuations (coroutine, exception, green thread) with finite state machines. The library is written in C99 without external dependecy or machine-specific code and can be compiled in ansi-c or ansi-c++ with the minal effort to define two unsigned int type (uint8_t and uint32_t).
    Downloads: 0 This Week
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  • 7
    Liberator

    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.
    Downloads: 5 This Week
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  • 8
    MITIE

    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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  • 9
    WIP

    WIP

    Create Siri Shortcuts with Python

    python-shortcuts is a library to create Siri Shortcuts on your laptop with your favorite text editor. It uses toml to represent shortcuts. The library is in a very early development state (PR welcome!), so it does not support all actions from the Shortcuts app.
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  • 10
    Git Time Machine

    Git Time Machine

    Atom package that allows you to travel back in commit history

    git-time-machine is a user interface (often as an editor plugin or UI extension) that allows users to browse a file’s history visually, stepping back and forth through revisions in Git like a “time machine.” It shows changes to a file over time, lets users compare older states, and often provides diff and blame views to understand how the file evolved.
    Downloads: 0 This Week
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  • 11

    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. ...
    Downloads: 9 This Week
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  • 12
    Caffe

    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...
    Downloads: 2 This Week
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  • 13

    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
    Downloads: 0 This Week
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  • 14
    State Controller Library

    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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  • 15

    HYBRYD

    Library written in C with Python API for IPv6 networking

    This project is a rewritten of an initial project that I've called GLUE and created in 2005. I'm trying to readapt it for Python 2.7.3 and GCC 4.6.3 The library has to be build as a simple Python extension using >python setup.py install and allows to create different kind of servers, clients or hybryds (clients-servers) over (TCP/UDP) using the Ipv6 Protocol. The architecture of the code is based on brain architecture. Will put an IPv6 adress active available as soon as...
    Downloads: 0 This Week
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  • 16

    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.
    Downloads: 0 This Week
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  • 17
    StatechartJS

    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.
    Downloads: 0 This Week
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  • 18
    A project that aims to create reusable components (C++ libraries, COM components, and Edit controls) for Phonetic Transliteration of Indian languages, such as Telugu, Tamil, Kannada etc.
    Downloads: 0 This Week
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  • 19
    AnotherFSM

    AnotherFSM

    State machines for Java, FSM.

    AnotherFSM is yet another implementation of state machines, a library for Java programming language.
    Downloads: 0 This Week
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  • 20
    Provides fast and convinient way to create and manage hierarchical finite-state machine with orthogonal regions support.
    Downloads: 0 This Week
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  • 21

    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.
    Downloads: 0 This Week
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  • 22
    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.
    Downloads: 2 This Week
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  • 23
    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.
    Downloads: 0 This Week
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  • 24
    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.
    Downloads: 0 This Week
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  • 25
    Use State Machine to parse Xml by one file. SAX interface
    Downloads: 0 This Week
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