Search Results for "extraction" - Page 17
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Showing 774 open source projects for "extraction"
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cantools
Access and convert ASC, BLF, DBC, and MDF files
cantools is a set of libraries and command line tools for handling ASC, BLF, CLG, VSB, MDF, and DBC files. The tools can be used to analyze and convert the data to other formats. Shared libraries for parsing and accessing these files are also provided. -
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MORPHEUS for Fiji
A tool for unbiased and reproducible cell morphometry in Fiji/ImageJ2
...Specifically, MORPHEUS works with sampling distributions to learn—in an unsupervised manner and by a non-parametric approach—how to recognize the cells suitable for subsequent analysis. Afterwards, the algorithm performs the evaluation of the most relevant cell-shape descriptors over the full set of detected cells. Optionally, also the extraction of nucleus features and a double-scale analysis of orientation can be performed. The whole algorithm is implemented as a one-click procedure, thus minimizing the user intervention and the ensuing biases and errors of human origin. By this way, MORPHEUS is intended to be a useful tool to face the issue of reproducibility in bioimage analysis. -
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DIFRATE
DIstortion Free Relaxation Analysis TEchnique (DIFRATE) software
..."Reducing bias in the analysis of solution-state NMR data with dynamics detectors." (2018) Currently available: http://doi.org/10.1002/anie.201901929 Contact: alsi-nmr@users.sourceforge.net Please contact me if you have any questions. Also check out INFOS for data extraction from NMR spectra (infos.sourceforge.net). -
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HelloNzb
The Binary Usenet Tool
With HelloNzb you can download (binary) files from Usenet servers via NZB index files. The software is based on Java and can thus run on many platforms (tested on Windows and Linux). Automatic archive verification via PAR2, automatic RAR archive extraction, built-in yEnc- and UU-decoding. Portable, no installation required. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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3DFOREST
tool for manage and process TLS lidar data from forest environment
Software tool for tree atributes extraction from point cloud data acquired by terrestrial laser scanner in forest enviroment. 3DForest is not only a visualizer af data but brings new and complex data management for foresters and researchers -
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NeuroNER
Named-entity recognition using neural networks
Named-entity recognition (NER) aims at identifying entities of interest in the text, such as location, organization and temporal expression. Identified entities can be used in various downstream applications such as patient note de-identification and information extraction systems. They can also be used as features for machine learning systems for other natural language processing tasks. Leverages the state-of-the-art prediction capabilities of neural networks (a.k.a. "deep learning") Is cross-platform, open source, freely available, and straightforward to use. Enables the users to create or modify annotations for a new or existing corpus. ... -
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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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@Note2
@Note2 - A workbench for Biomedical Text Mining
Biomedical Text Mining (BioTM) is providing valuable approaches to the automated curation of scientific literature. -
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TextRank
TextRank implementation for Python 3
TextRank is an implementation of the TextRank algorithm for extractive text summarization and keyword extraction, inspired by Google’s PageRank. -
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TBXTools
A Python class for Terminology Extraction and Management
TBXTools allows easy and rapid Terminology Extraction and Management. This tool implements both statistical and linguistic methods, along with several utilities to create and manage terminological databases. It is written in Python and uses NLTK (Natural Language Toolkit) The project has moved to Github: https://github.com/aoliverg/TBXTools -
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StepPy
Method of fast data extraction from structured documents
Fast data extraction from structured documents like HTML and XML by using a phrase sequence search technique. The required data is found by searching for one or more signature phrases prior to the required data text followed by a terminal phrase after the data. No parsing is required which results in very high speed data extraction. -
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Simd
High performance image processing library in C++
The Simd Library is a free open source image processing library, designed for C and C++ programmers. It provides many useful high performance algorithms for image processing such as: pixel format conversion, image scaling and filtration, extraction of statistic information from images, motion detection, object detection (HAAR and LBP classifier cascades) and classification, neural network. The algorithms are optimized with using of different SIMD CPU extensions. In particular the library supports following CPU extensions: SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, AVX, AVX2 and AVX-512 for x86/x64, VMX(Altivec) and VSX(Power7) for PowerPC, NEON for ARM. ... -
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Spatial Media
Specifications and tools for 360º video and spatial audio
spatial-media provides tools for working with spherical video and spatial audio metadata so players and platforms can correctly render immersive media. The utilities inject, inspect, and extract metadata in common container formats (MP4/WebM) to signal 360° projection type, stereoscopy mode, and spatial audio layout. Creators use it to prepare 360/VR180 assets for upload so services know whether a video is monoscopic, top-bottom stereo, or side-by-side, and whether ambisonic audio is... -
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iText®, a JAVA PDF library
PDF Library for Developers
iText is an open-source PDF library available for Java and .NET (C#). iText allows you to effortlessly generate and manipulate standards-compliant PDF documents with a powerful and feature-rich SDK. With iText, you can create archivable and accessible PDFs, split and merge documents, fill and flatten forms, digitally sign documents, and more. iText add-ons enable additional functionality, such as PDF creation from HTML templates, secure redaction, OCR, and much more. The latest... -
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PySptools
Hyperspectral algorithms for Python
...The functions and classes are organized by topics: * abundance maps: FCLS, NNLS, UCLS * classification: AbundanceClassification, NormXCorr, KMeans SAM, SID, SVC * detection: ACE, CEM, GLRT, MatchedFilter, OSP * distance: chebychev, NormXCorr, SAM, SID * endmembers extraction: ATGP, FIPPI, NFINDR, PPI * material count: HfcVd, HySime * noise: Savitzky Golay, MNF, whiten * sigproc: bilateral * sklearn: HyperEstimatorCrossVal, HyperSVC and others * spectro: convex hull quotient, features extraction (tetracorder style), USGS06 lib interface * util: load_ENVI_file, load_ENVI_spec_lib, corr, cov and others The library do an extensive use of the numpy numeric library and can achieve good speed. ... -
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Easy File Compression
Client side solution for PC & Browser Firefox to create zip archive
All client-side solution for PC & Browser Firefox to create zip archive and extract zip and rar archive files with API HTML5 file system. == Browser Extensions == Add-on Firefox: http://mzl.la/1Kd7fiD OS requirements - Windows 7 and later are supported, older operating systems are not supported (and do not work). Both x86 and amd64 (x64) binaries are provided for - - Windows. Please note, the ARM version of Windows is not supported for now. == Installation and Activation == 1.... -
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Convolutional Recurrent Neural Network
Convolutional Recurrent Neural Network (CRNN) for image-based sequence
Convolutional Recurrent Neural Network provides an implementation of the Convolutional Recurrent Neural Network (CRNN) architecture, a deep learning model designed for image-based sequence recognition tasks such as optical character recognition and scene text recognition. The architecture combines convolutional neural networks for extracting visual features from images with recurrent neural networks that model sequential dependencies in the extracted features. This hybrid approach allows the... -
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Toolbox
Piotr's Image & Video Matlab Toolbox
Piotr’s Image & Video MATLAB Toolbox is a general-purpose MATLAB toolbox for image and video processing and vision tasks, offering utilities, filters, detection, feature extraction, and algorithm building blocks. Example and demo scripts for usage (e.g. acfReadme, detector readmes). It augments MATLAB’s native capabilities (not replacing the Image Processing Toolbox) by providing efficient, reusable wrappers and optimized routines. Example and demo scripts for usage (e.g. acfReadme, detector readmes). Support for compilation / mex (for speed) and cross-platform compatibility. -
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pyhanlp
Chinese participle
...The project focuses on making HanLP’s capabilities accessible through a Python-friendly API surface, so you can integrate NLP steps into data pipelines, notebooks, and downstream ML or information-extraction code. In practice, it serves as a bridge layer: Python calls are translated into the corresponding HanLP operations, so you can keep your application logic in Python while relying on HanLP’s implementations. It is especially useful when you need a pragmatic “get results quickly” NLP layer for segmentation, tagging, entity extraction, parsing, or keyword-style tasks rather than experimenting with model training from scratch. -
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gain
Asyncio-based Python framework for building fast web crawling spiders
...It provides a structured framework for creating spiders that can navigate websites, extract structured data, and process the collected results. Developers define crawlers using components such as spiders, parsers, and items, allowing them to organize crawling logic and data extraction rules clearly. Gain supports CSS selectors and XPath expressions for parsing page content and extracting specific elements. Gain also allows developers to configure headers, concurrency levels, and proxy settings to control how crawlers interact with target websites. Because it uses asynchronous programming, Gain can handle multiple requests efficiently while minimizing blocking operations. -
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DigiExtractor is a tool to allow extraction of video recordings from the DigiCorder series of DVB receivers manufactured by TechniSat.
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Information Extraction from Arabic Text
Java based framework for extraction information from Arabic text
This project presents a model a for extracting information from Arabic text. The project executables include three Java based modules that can be used to implement a rule-based information extraction process from Arabic text. These modules are: 1-A module for annotating a selected Arabic text file using a custom morpho-syntactic Part-of-Speech tagging scheme. 2-A module that can be used along with Protégé for establishing Ontology Web Language (OWL) based ontologies based on the concepts and relations in a text file. 3-A module for automatically extracting information from annotated Arabic text files. ... -
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pdi-jira
JIRA plugin for Pentaho Data Integration
Using this PDI plugin you can connect any JIRA service even using SSL connection and perform JSON data extraction over the results. JQL is used to obtain data from the JIRA remote service. -
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Deeplearning-papernotes
Summaries and notes on Deep Learning research papers
Deeplearning-papernotes is an implementation of Convolutional Neural Networks for sentence and text classification in TensorFlow, based on a well-known research paper that applies CNN architectures to natural language processing tasks with strong performance in sentiment analysis and similar classification problems. The repository provides the complete network definition, including an embedding layer to convert words into dense representations, convolution and max-pooling layers to extract...
