Search Results for "x11-basic" - Page 7
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Showing 428 open source projects for "x11-basic"
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Presage
the intelligent predictive text entry platform
Presage (formerly Soothsayer) is an intelligent predictive text entry system. Presage generates predictions by modelling natural language as a combination of redundant information sources. Presage computes probabilities for words which are most likely to be entered next by merging predictions generated by the different predictive algorithms. Presage's modular and extensible architecture allows its language model to be extended and customized to utilize statistical, syntactic, and semantic... -
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SLING
A natural language frame semantics parser
...We do not yet have a full system that can extract facts from arbitrary text, but we have built a number of the subsystems needed for such a system. The SLING frame store is our basic framework for building and manipulating frame semantic graph structures. The Wiki flow pipeline can take a raw dump of Wikidata and convert this into one big frame graph. -
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ILA - teachable voice assistant
ILA is a fully customizable and teachable voice assistant for Java
ILA stands for (kind of) intelligent, learning assistant and is a speech recognition system aka voice assistant very similar to Siri, Google Now and Cortana. ILA is fully customizable and you can teach her/him/it new things by yourself like executing system commands, opening web pages, programs and apps or just some basic conversation :-) ILA runs on Java und thus is compatible to Windows, Mac and Linux. It is designed to integrate with your home enviroment and for example build up your own, free and open Amazon Echo replacement ;-) Right now the key components of ILA are the open source speech recognition CMU Sphinx-4, Google (Speech Recognition/Text-To-Speech) and MaryTTS (Text-To-Speech). ... -
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Experience-Based Language Acquisition is a computational model of human language acquisition. It is written entirely in Java and currently acquires a protolanguage of nouns and verbs language based on visual perception.
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2D Statistical Models. Building: shape model, texture model and concatenated appearance model; Fitting: 1D profile ASM, 2D profile ASM, direct local texture constrained(LTC) ASM, basic AAM, ICIA AAM, IAIA AAM, etc.
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RealSpeech is a simple and basic Text-to-Speech Software. RealSpeech will take in text written in English and will make your computer speak it out. Programed in C#. Real Speech is my second major C# project as a 14-year old kid. RealSpeech will run on Windows 8/8.1 and 10. For Windows 7 or earlier you will have to install the latest version of .NET Framework to run RealSpeech.
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Tensor Comprehensions
A domain specific language to express machine learning workloads
Tensor Comprehensions (TC) is a fully functional C++ library that automatically synthesizes high-performance machine learning kernels using Halide, ISL, and NVRTC or LLVM. TC additionally provides basic integration with Caffe2 and PyTorch. We provide more details in our paper on arXiv. This library is designed to be highly portable, machine-learning-framework agnostic and only requires a simple tensor library with memory allocation, offloading, and synchronization capabilities. -
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voice-elements
Web Component wrapper to the Web Speech API
voice-elements is a set of Web Components that wraps the Web Speech API to make speech synthesis (text-to-speech) and speech recognition (speech-to-text) easy to use via simple HTML tags. Instead of manually dealing with JavaScript APIs like SpeechSynthesis and SpeechRecognition, developers can drop custom elements such as <voice-player> and <voice-recognition> into their markup and configure them with attributes. Built originally with Polymer, it follows the early Web Components ecosystem... -
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PyTorch Book
PyTorch tutorials and fun projects including neural talk
...The new version of the code has not been fully tested, it has been tested under GPU and python3. But in theory there shouldn't be too many problems on python2 and CPU. The basic part (the first five chapters) explains the content of PyTorch. This part introduces the main modules in PyTorch and some tools commonly used in deep learning. For this part of the content, Jupyter Notebook is used as a teaching tool here, and readers can modify and run with notebooks and repeat experiments. -
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Computation of empirical parameters in user-defined non-linear chemical kinetic models. Has a facility to compare 3 empirical models on the same graph to visually judge which model predicts the experimental data better. The empirical models can be input in the GUI as user-defined functions. This tool was written for the publication of "Modelling of Curing Kinetics of Amine Cured Epoxy Resins for Vacuum Assisted Resin Infusion Molding" (The Canadian Journal of Chemical Engineering, 2013),...
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ANGie
Alice Next Generation (internet entity)
...The ANGie project strives to have intelligent and sensible responses, but to allow the bot to have no response when the meaning of the input is inconclusive, when additional context would be required to properly respond, or in general for questions for which the bot is unprepared - in order to create a bot that is capable of carrying on basic conversations with a human similar to the sort of small talk that two humans might have. Requires PyAIMLng, PyGOAPng, and aimlGOAP. -
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MDictate
Speech to text using python, pocketsphinx, ready to deploy
...Runs on Windows using the mdictate.exe, but the core workings are found in the mdictate.py script which should work on Windows/Linux/OS X. In version 1.0, we use pocketsphinx' default setup with a basic graphic interface. -
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Accord.NET Framework
Scientific computing, machine learning and computer vision for .NET
The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono. -
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Spark is a physical simulation system. The primary purpose of this system is to provide a *generic* simulator for different kinds of simulations. In these simulations, agents can participate as external processes.
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OpenANN
Basic Artificial Neural Network
OpenANN is a basic artificial neural network toolset. It is not being actively maintained. For performance neural networking, consider an alternative (such as https://sourceforge.net/projects/openann-project or https://www.tensorflow.org) -
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Scilab Image Processing Toolbox
Advanced image processing toolbox for Scilab on Unix/Linux/Mac OS
SIP is the image processing and computer vision package for SciLab, a free Matlab-like programming environment. SIP reads/writes images in formats like JPEG, PNG, and BMP. It does filtering, segmentation, edge detection, morphology, and shape analysis. Download from Git http://siptoolbox.sourceforge.net/devel -
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Microsoft-Azures-Basic-C--Pull
This is a simple C# Program that uses Microsoft Azures pull
This is a simple C# Program that uses Microsoft Azures. In the image you will find an example of a program I created using the script. It's very quick and easy to setup. I provide some screenshots and tips on where to place what where. After you have placed in your Microsoft Azures API Key and Postman Client and Body. You now be able to insert inputs via code like the example in my image(s). -
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Low-power approximate adders provide basic building blocks for approximate computing hardware that have shown remarkable energy efficiency for error-resilient applications (like image/video processing, computer vision, etc.), especially for battery-driven portable systems. In this paper, we present a novel scalable, fast yet accurate analytical method to evaluate the output error probability of multi-bit low power adders for a predetermined probability of input bits.
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An IDE for people interested in Machine Vision/Image Processing. Written in Java, using JAI. It allows users to view image data and also provides a drag and drop environment that users can create/execute graphs of JAI operators.
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tracking.js
A modern approach for Computer Vision on the web
...Unzip the project somewhere on your local drive. The package includes an initial version of the project you'll be working with. While you're working, you'll need a basic HTTP server to serve your pages. Test out the web server by loading the finished version of the project. The main goal of tracking.js is to provide those complex techniques in a simple and intuitive way on the web. We believe computer vision is important to improve people's life, bringing it to the web will make this future a reality a lot faster. -
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Animal is AN IMAging Library written in C. Its simple API supports over 80 image formats, and is intended to make massive use of other image processing libraries. Animal aims at image analysis and recognition. It is mainly the C basis of the SIP toolbox.
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...The software itself is designed to be very simple but yet loaded with incredible features that are targeted at solving your problems. Open Source files will be released this week (6/30/2016) and they will be in the full version of Visual Basic and converted version in CSharp C#.
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LAML:Linear Algebra and Machine Learning
A stand-alone Java library for linear algebra and machine learning
...The goal is to build efficient and easy-to-use linear algebra and machine learning libraries. The reason why linear algebra and machine learning are built together is that full control of the basic data structures for matrices and vectors is required to have fast implementation for machine learning methods. Additionally, LAML provides a lot of commonly used matrix functions in the same signature to MATLAB, thus can also be used to manually convert MATLAB code to Java code. -
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Phrasal
Statistical phrase-based machine translation system
...Developed by The Natural Language Processing Group at Stanford University, a team of faculty, postdocs, programmers and students who work together on algorithms that allow computers to process and understand human languages. Our work ranges from basic research in computational linguistics to key applications in human language technology, and covers areas such as sentence understanding, automatic question answering, machine translation, syntactic parsing and tagging, sentiment analysis.
