Search Results for "extraction" - Page 19
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Showing 779 open source projects for "extraction"
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OCR Web based
OCR web based for Browser Firefox & PC
...id=com.ulm.ocr ========= Add-on for Opera: http://bit.ly/1F0E0wP ========= Release 1.0.1 For safety reasons, I disabled the possibility to import an image from url. Finally, I wish to inform you that you can write or draw directly on the canvas to get the subsequent character recognition and text extraction -
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TEES
Turku Event Extraction System
Turku Event Extraction System (TEES) is a free and open source natural language processing system developed for the extraction of events and relations from biomedical text. It is written mostly in Python, and should work in generic Unix/Linux environments. Currently, the TEES source code repository still remains on GitHub at http://jbjorne.github.com/TEES/ where there is also a wiki with more information. -
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aeneas
Automagically synchronize audio and text (aka forced alignment)
aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment). aeneas automatically generates a synchronization map between a list of text fragments and an audio file containing the narration of the text. In computer science this task is known as (automatically computing a) forced alignment. -
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PeaExtractor
Simple 7z, ace, cab, iso, rar, tar, zip file extractor
User friendly wizard-based program for extraction of 180+ archive types, including encrypted files (7Z, ARC, PEA, RAR, ZIP, ZIPX) and spanned multi-volume archives (001, R01, Z01), spin-off of PeaZip project. Drag & drop any file on the application to extract it (if supported) or to attempt unpacking of unknown formats and variants. The minimal GUI is meant to keep working with archive decompression as simple as possible. -
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Adele
Adhoc Data Exploration - Live & Easy
Adele was developed to simplify the daily work with data. Use it as a swiss knife to fill the gap between your work with spreadsheet application like MS Excel and enterprise servers like SAP ERP. Specialized tools like Rapid Miner, KNIME or similiary stuff should not be replaced. But Adele is designed for business people working with spreadsheet applications to analyse their data. There are many technical concepts in an easier way included. For example realtime OLAP, transformations,... -
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BTCore
A Collection of Useful Java/Swing Code
NEWEST FEATURE ---------- Added one line ".zip" extraction to Util class! Added one line ".zip" extraction from URL (web) and one line file download from URL! BTCore is a library that was designed to be used with all of Banotech's software. It includes a tremendous amount of code snippets and classes that have been boiled down to allow ease of use by everyone. BTCore is, and always will be FREE. -
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Eye
Process monitoring tool. Inspired from Bluepill and God
Process monitoring tool. Inspired from Bluepill and God. Requires Ruby(MRI) >= 1.9.3-p194. Uses Celluloid and Celluloid::IO. Eye is an image processing and analysis library for quickly analyzing image patterns and features, often used in computer vision tasks. -
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Parallec
Fast Parallel Async HTTP/SSH/TCP/UDP/Ping Client Java Library
Fast parallel async HTTP/SSH/TCP/UDP/Ping client java library on Akka. Aggregate 100,000 APIs & send results anywhere in 20 lines of code. View production use cases. Ping or HTTP calls 8000 servers with responses aggregated in 12 seconds. Parallec means Parallel Client (pronounced as "para-like"). Open Source from eBay Cloud. A convenient response context passes any object you need when handling a response. Process data anyway and send it anywhere. Intuitive builder pattern APIs make... -
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Turbo Download Manager
A portable modern multi-threading download manager for all platforms
A modern multi thread download manager for Windows, Linux, Mac OS, Firefox, Chrome, Opera and Android devices. For bug reports visit: https://github.com/inbasic/turbo-download-manager/issues For FAQs visit: http://add0n.com/turbo-download-manager.html Turbo Download Manager is an stand-alone application without any dependencies. It should run out of the box. Just set the download location while adding the first job request. If you have a browser and would like to integrate this... -
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Distant Speech Recognition
Beamforming and Speech Recognition Toolkit
BTK contains C++ and Python libraries that implement speech processing and microphone array techniques such as speech feature extraction, speech enhancement, speaker tracking, beamforming, dereverberation and echo cancellation algorithms. The Millennium ASR provides C++ and python libraries for automatic speech recognition. The Millennium ASR implements a weighted finite state transducer (WFST) decoder, training and adaptation methods. These toolkits are meant for facilitating research and development of automatic distant speech recognition. -
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NobleTools
Collection of NLP Tools developed at DBMI at University of Pittsburgh
Collection of NLP Tools developed at Department of BioMedical Informatics at University of Pittsburgh. The set of tools include a generic Terminology and Ontology API, Named Entity Recognition (NER) tool called NobleCoder, Information Extraction (IE) framework, Negation detection and more. -
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Zika-RNAseq-Pipeline
An open RNA-Seq data analysis pipeline tutorial
...Here we introduce a reproducible open source RNA-seq pipeline delivered as an IPython notebook and a Docker image. The pipeline uses state-of-the-art tools and can run on various platforms with minimal configuration overhead. The pipeline enables the extraction of knowledge from typical RNA-seq studies by generating interactive principal component analysis (PCA) and hierarchical clustering (HC) plots, performing enrichment analyses against over 90 gene set libraries, and obtaining lists of small molecules that are predicted to either mimic or reverse the observed changes in mRNA expression. -
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Ansj Chinese word segmentation
Ansj word segmentation
...The word segmentation speed reaches about 2 million words per second (tested under mac air), and the accuracy rate can reach more than 96%. At present, it has realized the functions of Chinese word segmentation, Chinese name recognition, user-defined dictionary, keyword extraction, automatic summarization, and keyword tagging. It can be applied to natural language processing and other aspects, and is suitable for various projects that require high word segmentation effects. -
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VITAMINS
Visual and Insitu Analytics for Molecular Interactive Simulation
A framework to support the high performance analysis and visualisation of molecular dynamics trajectories directly acquired in-situ while the simulation is running, or read from files. Vitamins relies on the FlowVR software and comes with binding with Gromacs. Vitamins (Visual and In Situ Analytics for Molecular Interactive Simulation) is an open source framework for the analysis and visualisation of large molecular dynamics trajectories directly acquired in-situ while the simulation... -
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CRFasRNN
Semantic image segmentation method described in the ICCV 2015 paper
CRF-RNN is a deep neural architecture that integrates fully connected Conditional Random Fields (CRFs) with Convolutional Neural Networks (CNNs) by reformulating mean-field CRF inference as a Recurrent Neural Network. This fusion enables end-to-end training via backpropagation for semantic image segmentation tasks, eliminating the need for separate, offline post-processing steps. Our work allows computers to recognize objects in images, what is distinctive about our work is that we also... -
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CaesarIA (openCaesar3)
Remake of the classic Caesar III game
CaesarIA is an open source remake of Caesar III game released by Impressions Games in 1998, it aims to expand the possibilities of the classical city-building simulators and to add new features showing the city life. Now the game work with Windows, Linux, Mac, Haiku and Android. The original Caesar3 game is needed to play openCaesar3. We start crowdfunding campaign for renew graphic set at www.igg.me/at/caesaria-game. Help us set new stage in good old Caesar. -
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Phrasal
Statistical phrase-based machine translation system
...Distinctive features include: providing an easy to use API for implementing new decoding model features, the ability to translating using phrases that include gaps (Galley et al. 2010), and conditional extraction of phrase-tables and lexical reordering models. 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. -
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...Through our experimental results, artistic styles of different painting collections and their influential relationships can be analyzed and visualized. If you would like to use the "large painting dataset" or the "very first" version of our feature extraction code, please cite the following publications properly: Florence Ying Wang and Masahiro Takatsuka. SOM based Artistic Style Visualization. (ICME'13). San Jose. USA, July, 2013.
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ZORE is a syntax-based Chinese (Zh) ORE system, which can extract relations and semantic patterns from Chinese text. ZORE identifies relation candidates from auto- matically parsed dependency trees, and then extracts relations with their semantic patterns iteratively through a novel double propagation algorithm. Empirical results on two data sets show the effectiveness of the proposed system. This software source is under GPL (v.3), and a separate commercial license issued by the authors for...
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Netvlad
NetVLAD: CNN architecture for weakly supervised place recognition
NetVLAD is a deep learning-based image descriptor framework developed by Relja Arandjelović for place recognition and image retrieval. It extends standard CNNs with a trainable VLAD (Vector of Locally Aggregated Descriptors) layer to create compact, robust global descriptors from image features. This implementation includes training code and pretrained models using the Pittsburgh and Tokyo datasets. -
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Python Audio Tools are a collection of audio handling programs. These include programs for CD extraction, track conversion from one audio format to another, track renaming and retagging, track identification, CD burning from tracks, and more.
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TermEvaluator
A tool for evaluating automatic terminology extraction.
*For citation please kindly reference the following work: -Inkpen D., Paribakht, T. S., Faez F., and Amjadian, E. 2016. International Journal of Computational Linguistics and Applications. This is a tool to evaluate terminology extraction performed on corpora. Human judges can choose if an extracted term is correct, or incorrect. Already known terms (say from a dictionary) can be imported to the tool and marked automatically as correct by the tool so that the annotators won't have to judge them. The tool offers comparison & analysis among annotators. Annotators have the option to save the progress and resume annotation at any time. ... -
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DBpedia Spotlight
DBpedia Spotlight is a tool for automatically annotating
It is a tool for automatically annotating mentions of DBpedia resources in text, providing a solution for linking unstructured information sources to the Linked Open Data cloud through DBpedia. With a four step approach, DBpedia Spotlight performs named entity extraction, including entity detection and name resolution. It can also be used for named entity recognition, amongst other information extraction tasks. Empower the user experience reusing, interlinking and making semantic queries among high-quality open datasets, extracting meaning from unstructured data. -
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MORPHE
MORphological PHenotype Extraction
MORphological PHenotype Extraction (MORPHE) is a suite of automated image processing, visualization, and classification algorithms to facilitate the analysis of heritable and clonal red-to-green transitions that occurred during the growth of a colony. -
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PSGMiner a novel software which has been developed to carry out feature extraction in order that robust analysis and classification of various sleep diseases can be performed using polysomnographic data.The software is composed of different modules: The database, feature extraction, annotation,artifact and machine learning modules. for cite İlhan Umut, PSGMiner: A modular software for polysomnographic analysis, Computers in Biology and Medicine, Volume 73, 1 June 2016, Pages 1-9, ISSN 0010-4825, http://dx.doi.org/10.1016/j.compbiomed.2016.03.023. ...
