Search Results for "input-leap"
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Showing 37 open source projects for "input-leap"
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Analysis and display software targeted at space physics data. Installation instructions are at the bottom of the FILES directory. See documentation at https://qsas.sourceforge.io/QSAShelp/QSAS_help_index.html See also QSAS_Intro_June2018.pptx under FILES Contact: qsassupp@gmail.com E-Mail lists: qsas-users@lists.sourceforge.net qsas-discuss@lists.sourceforge.net
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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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...For working of this program on Windows will be required "Microsoft Visual C++ Redistributable runtime libraries 2022": https://support.microsoft.com/en-us/help/2977003/the-latest-supported-visual-c-downloads Latest versions were built and tested on: Windows 10 x64, Ubuntu 20.04.5 LTS, openSUSE Leap 15.4, Arch Linux (EndeavourOS Cassini Nova 03-2023) For faster support in case of bug fixes please contact me in: https://vk.com/skosnits For donate: https://sourceforge.net/projects/videosubfinder/donate
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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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Mobile Tracking Processor
An easy way to remove noise from mobile telemetry data
This program takes a .txt input file containing the raw output from a Lotek SRX800 receiver and removes false detections based on a user-provided .csv of tagging data. -
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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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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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GESPA
Accurately predicts disease association of single nucleotide mutations
GESPA (GEnomic Single nucleotide Polymorphism Analyzer) is a bioinformatics tool for classifying Nonsynonymous Single Nucleotide Polymorphisms (nsSNPs). GESPA predicts if a nsSNP is pathogenic using reports from literature and various algorithms to assess conservation in orthologous and paralogous protein alignments. Using reports from literature, GESPA is also able to predict the phenotype of a nsSNP with high accuracy. The software can be used clinically to determine if observed nsSNPs are... -
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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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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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GenomeRunner
Annotation and enrichment of Next-Gen sequencing data
...It performs annotation and enrichment analyses of user-provided genomic regions (SNPs, ChIP-seq binding sites etc.) against >6,000 (human genome) epigenomic features available from the UCSC genome browser. Input - any genome-wide data data in .bed format (tab-delimited text file with chrom, chromStart, chromEnd). Annotation analysis output - detailed annotation of each genomic region in input data. Used to prioritize individual genomic regions by the total number of epigenomic features they co-localize with. Enrichment analysis output - p-values of statistically significant co-localizations of input genome-wide data with genome annotation features selected for the analysis. ... -
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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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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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NeatTools is an object oriented visual programming application which allows users to create data flow networks, read sensors, and display and log data. See http://neattools.org and http://www.neattools.org/wiki for more information.
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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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iGesture is a Java-based gesture recognition framework providing access to multiple gesture recognition algorithms and different input devices. The iGesture Workbench supports the definition and evaluation of customised gesture sets and algorithms.
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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 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.
