Search Results for "input"
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Showing 43 open source projects for "input"
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CRC RevEng
Arbitrary-precision CRC calculator and algorithm finder
...It calculates reversed CRCs to give the bit pattern that produces a desired forward CRC. CRC RevEng also reverse-engineers any CRC algorithm from sufficient correctly formatted message-CRC pairs and optional known parameters. It comprises powerful input interpretation options. Compliant with Ross Williams' Rocksoft(tm) model of parametrised CRC algorithms. -
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Linha do Texto is a web based game for classificate semiotic text content from user input data with 1 to 4 parameters predifined in each section. It can be used to discuss discrete and continuous semantic categories in a scientific and educational fied.
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queXC
Web based system for cleaning and classifying open text fields
An Open Source, web based data cleaning and coding system. queXC takes a data file (such as questionnaire data) and cleans the text input fields by spacing and spell checking them. Operators then code text fields using new/existing coding schemes. -
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concordia
Powerful search library, best suited for computer-aided translation
...The effects are stunning - Concordia is able to do simple substring lookup at the pace of 5000 queries per second (on personal PC) - a speed which can not be achieved by any other search library. Moreover, Concordia can perform its own "concordia search". For a given input sentece, all substring matches covering this sentence are retrieved. This project now contains fully functional Concordia search library. In the near future, it will be extended by concordia-server: ligthweight, robust web server providing corpora search functionalities -
Build AI Apps with Gemini 3 on Vertex AIVertex AI gives developers access to Gemini 3—Google’s most advanced reasoning and coding model—plus 200+ foundation models including Claude, Llama, and Gemma. Build generative AI apps with Vertex AI Studio, customize with fine-tuning, and deploy to production with enterprise-grade MLOps. New customers get $300 in free credits.
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ooPorter
A Porter stemming or stemmer algorithm coded in ooRexx
...This is not an example of good or fast (oo)Rexx programming, it is merely a demonstration of the Porter stemming routine ported to ooRexx, use and modify as necessary. Input to the program is a textfile with words to be stemmed, one per line. Output from the program ends up in the terminal window (standard out) and may be redirected to an output file. Syntax: rexx ooPorter myInputfile.txt > myOutputfile.txt The program only works for stemming English words. The source code is distributed under a free beer license; you are free to use the ooRexx source code as you please and no restrictions whatsoever apply as far as the type of beer is involved. -
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Yet Another Audio Feature Extractor is a toolbox for audio analysis. Easy to use and efficient at extracting a large number of audio features simultaneously. WAV and MP3 files supported, or embedding in C++, Python or Matlab applications.
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quickplot
interactive 2D plotter
Quickplot is a fast interactive 2D plotter with infinite zooming, value picking, pipe input, and unlimited plots displayed. Quickplot is meant for looking at your data quickly and of secondary importance is making static pictures of your data. -
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PyLogAnalyser
A Python multiplatform tool to filter, colorise and analyse logs
PyLogAnalyzer is a tool that receives an input log in black and white, a configuration INI file, which contains the list of rules to process the input, and an output file where to save the results. These rules permit to detect an input line according to a regular expression (regex) or line number range, filter it, pass it, colorise in foreground and background, columnise the groups of the regex and enable or disable the rule. -
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Text Expander, Inverse summarizer
Expand text, inverse summarizer
...This program is a data-miner and a knowledge-miner. It does exactly the opposite of what the text summarizers do. A text summarizer produces a shortened text given some text as an input. An inverse summarizer takes the shortened input, a similar or a same text and does the process in reverse. This results in an expanded text. It can be used with any text or notes that have the knowledge gaps. It is a great aid to any creative work and it simply pin-points to data that may be of some relevance. How to run this program? ... -
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C++, Matlab and Python library for Hidden-state Conditional Random Fields. Implements 3 algorithms: LDCRF, HCRF and CRF. For Windows and Linux, 32- and 64-bits. Optimized for multi-threading. Works with sparse or dense input features.
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DRAMMS
A Deformable Medical Image Registration Toolbox
...Some typical applications of DRAMMS include, -- Cross-subject registration of the same organ (can be brain, breast, cardiac, etc); -- Mono- and Multi-modality registration (MRI, CT, histology); -- Longitudinal registration (pediatric brain growth, cancer development, mouse brain development, etc); -- Registration under missing correspondences (e.g., vascular lesions, tumors, histological cuts). DRAMMS runs in command line in UNIX/Mac OS, It accepts Nifti/ANALYZE/MetaImage image formats. It is fully-automatic --- takes two input images, and generates a registered image and (optionally) the deformation field. More information (installation, tutorial, manual, demonstration, FAQ, etc) can be found at http://www.rad.upenn.edu/sbia/software/dramms/ . -
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wiki export tool
A tool for exporting Wikipedia data
A simple tool, created in a French project "CoMeRe", for exporting data from all Wikimedia fundation projects, include Wikipedia. To use this, you need prepare two things: Target dump of Wiki Target page name Then, configure the tool with dump path and input the page name, finally just let's it run, you will get the target page. Duration is dependent on size of the dump, and the number of pages. Take care for using option "talk, other talk...", this is now only for french corpora. -
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Graphical Grammar Studio
An user friendly grammar tool for natural language processing tasks
...Graphical Grammar Studio is a tool for applying grammars which behave as words acceptors/consumers and annotators. GGS grammars can be used to find and annotate sequences of words which respect certain conditions, in a given input. Its purpose is for creating NLP tools like phrase chunkers, named entity finders, pronoun co-reference solvers etc. A grammar is represented by a state machine which can be visualized, edited and applied. A grammar is organized in graphs of nodes. Nodes are used for consuming words from the input, for executing jumps to other graphs in the grammar or for creating annotations etc. ... -
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Tautomaton is a C++11 -template library for deterministic (DFA) and non-deterministic finite automata (NFA). It supports regular expressions and efficient input matching of multiple regexps simultaneously. The library comes with a somewhat grep-like command-line tool for showcasing these features.
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NaRIBaS
Unix-based preparation and analysis toolbox for molecular simulations
Unix-based preparation and analysis toolbox for Nanomaterials and Room Temperature Ionic Liquids in Bulk and Slab using bash scripts, Gromacs tools and Matlab functions. NaRIBaS provides a framework that decouples user input parameter and terminal based command lines. NaRIBaS does not replace a simulation software and specific analysis tools like Gromacs, but it allows iterative repetition of tasks while changing specific input parameter. The toolbox is to be understood as a scripting framework rather than a black-box software. Task specific input and preparation or analysis function, are easy expandable to meet the scientific characteristic of constant changing properties. ... -
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SpiKeDeteKt
An automatic spike detection program to be used with new KlustaKwik
This is an automatic spike detection program which takes account of probe geometry and produces a .mask file to be used with the new masked version of KlustaKwik. We recommend you use Python 2.6 or 2.7, e.g. a free academic version can be obtained from Entthought Python. The input files for SpiKeDeteKt are: .dat (raw data file) .probe (probe file, described below - user constructed) parameters.py (optional - otherwise it uses defaultparameters.py) SpiKeDeteKt outputs the following files: .fet.n (feature file) .mask.n (needed for using the new (masked) KlustaKwik) .clu.n (a trivial clue file where everything is put into a single cluster) .fmask.n (trial - float masks instead of binary, we are using this for testing masked KlustaKwik) .spk.n (spike file) .upsk.n (unfiltered spike waveform) .res.n (list of spike times) .xml (an xml file with all the parameters that can subsequently be used by neuroscope or klusters) .fil (highpass filtered data) .h5 ( -
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...Data collection can be achieved by one of these devices: PICADC (free Microchip PIC solution developed by me [will make publicly available soon]), MC Measurement Computing (MCC) board or any Sound Card with Line In or Mic input (used for spectral analysis).
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The Simple Semantic Classifier classifies short chunks of natural language text into broad semantic classes that correspond to the OBO ontologies provided as input.
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VisualSense was developed to serve as an analysis tool for textual and numerical data extracted from image analysis of artwork from different cultures and influences. It can be used for any kind of data respecting the format (specified in the README)
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Optex Analyzer is a software to analyze and compare algorithms to solve approximately optimization problems. It has a GUI that allows select a set of input files containing raw algorithm results. The analysis is shown with tables and charts.
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The project is aiming to do two things: track the total transit time it takes a news story to travel from site A to site Z across the net and we'll be indexing the content of the article at each hop and tracking the morphing of the content as it goes
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The purpose of this program is to teach a computer to classify plants via their leaves. You just need to input the image of a leaf(acquired from scanner or camera), then the computer can tell you what kind of plant it is.
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XMPP Web Services for Java (XWS4J) is an implementation of machine to machine communication over XMPP. The communicated content is encoded in XML, according to customized definitions of input and output in W3C XML Schemata.
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This project is supposed to list the Top R ranked terms that are of between M and N length. It is designed to extract these phrases from a given corpus in a input folder.
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We are using a large archive of newspaper stories(GigaWordCorpus) as input to a parallel MPI program, and produce from that a list of top R terms of varying lengths M through N that are especially interesting. The program is done in C using MPI.
