Search Results for "language processing" - Page 22
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Showing 846 open source projects for "language processing"
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GLMixer
Graphic Live Mixer
GLMixer performs real time graphical blending of several movie clips and of computer generated graphics. Drop video files in the mixing workspace and place them in a circular area to change their opacity ; if you selects two videos, moving them together performs a fading transition. This principle generalizes to a large number of videos. Direct interaction with the video allows to be fast and reactive, and to move and deform them on screen. The output of your operations is shown in the... -
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OLiA
OWL/DL ontologies for linguistic annotations
MOVED TO https://github.com/acoli-repo/olia. The Ontologies of Linguistic Annotations (OLiA) provide an OWL/DL taxonomy of data categories as a reference for linguistic annotation (OLiA Reference Model), plus OWL/DL models for a large number of annotation schemes (OLiA Annotation Models) and their relationship to reference data categories (OLiA Linking Models). The OLiA Reference Model itself is linked to community-maintained repositories such as GOLD (http://linguistics-ontology.org/)... -
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nonechucks
Deal with bad samples in your dataset dynamically
...What if you have a dataset of 1000s of images, out of which a few dozen images are unreadable because the image files are corrupted? Or what if your dataset is a folder full of scanned PDFs that you have to OCRize, and then run a language detector on the resulting text, because you want only the ones that are in English? Or maybe you have an AlternateIndexSampler, and you want to be able to move to dataset[6] after dataset[4] fails while attempting to load! PyTorch's data processing module expects you to rid your dataset of any unwanted or invalid samples before you feed them into its pipeline, and provides no easy way to define a "fallback policy" in case such samples are encountered during dataset iteration. -
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Django Celery
Old Celery integration project for Django
Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time processing, while also supporting task scheduling. Celery has a large and diverse community of users and contributors, you should come join us on IRC or our mailing-list. Celery is Open Source and licensed under the BSD License. A task queue’s input is a unit of work called a... -
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YouTubeCrawler
Go-based automation utility that downloads YouTube videos
This tool is a Go-based automation utility that downloads YouTube videos and permanently embeds or “hard-codes” their subtitles (typically English) into MP4 output files. The workflow involves specifying one or more URLs (via a simple “url” text file in each folder) and the program uses youtube-dl to fetch video and subtitle, then ffmpeg to overlay the subtitles onto the video track. The architecture follows a command-pattern setup: tasks implement a common interface and are scheduled and... -
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ModularAdmin
Free Dashboard Theme Built On Bootstrap 4 | HTML Version
ModularAdmin is an open source dashboard theme built in a modular way. That makes it easy to scale, modify and maintain. We use SASS as CSS preprocessor language. Main variables are defined in the src/_variables.scss folder. For making life easier we broke down styles into components, and on build we're just merging all .scss files together and processing it to the dist/css/app.css file. There are also different theme variations located in src/_themes/ folder, where you can change the main variables to get different themes. ... -
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TEXT2DATA
Text Analytics Platform
Bring Text Analytics Platform that uses NLP (Natural Language Processing) and Machine Learning to your work environment. Extract essential information from your text documents and let Artificial Intelligence save your time. Get detailed and agile reports on your unstructured data. -
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Duckling (Old)
Clojure library that parses text into structured data
Duckling (the “old” archived version) is a natural language processing library (in Clojure) for parsing text to structured data — specifically, recognizing quantities such as dates, times, durations, measurements, currencies, etc., from free-form text. To use Duckling in your project, you just need two functions: load! to load the default configuration, and parse to parse a string. Duckling is a Clojure library that parses text into structured data. -
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codelyzer
Static analysis for Angular projects
...You can run the static code analyzer over web apps, NativeScript, Ionic, etc. Note that by default all components are aligned with the style guide so you won't see any errors in the console. Codelyzer supports any template and style language by custom hooks. If you're using Sass for instance, you can allow codelyzer to analyze your styles by creating a file .codelyzer.js in the root of your project (where the node_modules directory is). In the configuration file can implement custom pre-processing and template resolution logic. Lint rules encode logic for syntactic & semantic checks of TypeScript, HTML, CSS and Angular expressions source code. -
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Web Book Downloader
Download websites as e-book: pdf, txt, epub.
This application allows user to download chapters from website in 3 ways: - from table of contents; - from range: first chapter address, last chapter address; - by crawling from first chapter to n; In settings you can customize language, input(website encoding) for simplicity output is in the same encoding. If you want your language add new class into strings package, and new fields into Settings class and GUI menu(initialize method). -
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NeuroNER
Named-entity recognition using neural networks
...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. Train the neural network that performs the NER. During the training, NeuroNER allows monitoring of the network. ... -
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lazynlp
Library to scrape and clean web pages to create massive datasets
LazyNLP is a lightweight tool for collecting and curating large-scale text datasets for machine learning and NLP applications with minimal manual effort. -
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Pipelines
An experimental programming language for data flow
Pipelines is a language and runtime for crafting massively parallel pipelines. Unlike other languages for defining data flow, the Pipeline language requires the implementation of components to be defined separately in the Python scripting language. This allows the details of implementations to be separated from the structure of the pipeline while providing access to thousands of active libraries for machine learning, data analysis, and processing. -
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Common Litt
Simple java script library for auto literation, input tool.
This project focuses of auto conversion in between language alphabets. Using this 'lit.js' library currently you can done conversion in between English - Tamil - Sinhala scrpits vise-versa. This is use full when you need to know how write something in an other given language. This is still at development stage but works purfectly and easy to customize as well. Live demo available at: http://commonlitt.42web.io/ For UI creations I had used Bootstrap and Jquery. For easy array... -
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Faust : signal processing language
Faust is a programming language for realtime audio signal processing
[UPDATE] The project has been moved to GitHub (https://github.com/grame-cncm/faust). Do not use this repository anymore ! FAUST (Functional Audio Stream) is a functional programming language specifically designed for real-time signal processing and synthesis. FAUST targets high-performance signal processing applications and audio plug-ins for a variety of platforms and standards. The Faust compiler translates DSP specifications into very efficient C++ code. Thanks to the notion of architecture, FAUST programs can be easily deployed on a large variety of audio platforms and plugin formats (jack, alsa, ladspa, maxmsp, puredata, csound, supercollider, pure, vst, coreaudio) without any change to the FAUST code. -
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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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go-libav
Go language bindings for ffmpeg libraries
go-libav is a Go language binding for the FFmpeg libav libraries, enabling developers to perform advanced multimedia processing directly in Go applications. It exposes low-level functionality such as encoding, decoding, muxing, and demuxing through Go-friendly abstractions. The project is designed for performance-critical systems where direct control over media pipelines is required. -
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unfluff
Automatically extract body content (and other cool stuff) from HTML
unfluff is a Node.js library designed to automatically extract the main content from an HTML document — stripping away navigation bars, ads, footers and other boilerplate to leave you with the “body content”, metadata (title, author, date) and other useful fields. It’s a tool very much aimed at content-analysis, web scraping, building datasets, or repurposing article text for downstream processing (like machine-learning or summarization). The API is simple: you feed in raw HTML and it returns a structured object with the extracted text and other fields. It supports caching internal representations to speed up repeated extractions. While its language support is best for English, it is still widely used in web-content-processing pipelines. ... -
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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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cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
The cnn-text-classification-tf repository by Denny Britz is a well-known educational implementation of convolutional neural networks for text classification using TensorFlow, aimed at helping developers and researchers understand how CNNs can be applied to natural language processing tasks. Based loosely on Kim’s influential paper on CNNs for sentence classification, this codebase demonstrates how to preprocess text data, convert words into learned embeddings, and apply multiple convolution filters to extract n-gram features that are then pooled and fed into a classifier. The project includes scripts for training, evaluation, and data handling, making it easy to run experiments on datasets such as movie reviews or other labeled text collections. ... -
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DeepLearn
Implementation of research papers on Deep Learning+ NLP+ CV in Python
Welcome to DeepLearn. This repository contains an implementation of the following research papers on NLP, CV, ML, and deep learning. The required dependencies are mentioned in requirement.txt. I will also use dl-text modules for preparing the datasets. If you haven't use it, please do have a quick look at it. CV, transfer learning, representation learning. -
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OpenPR stands for Open Pattern Recognition project and is intended to be an open source library for algorithms of image processing, computer vision, natural language processing, pattern recognition, machine learning and the related fields.
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cebe/markdown
A super fast, highly extensible markdown parser for PHP
...It is a set of PHP classes, each representing a Markdown flavor and a command line tool for converting Markdown files to HTML files. The implementation focus is to be fast (see benchmark) and extensible. You are able to add additional language elements by directly hooking into the parser, no (possibly error-prone) post- or pre-processing is needed to extend the language. It is also well-tested to provide the best rendering results also in edge cases where other parsers fail. -
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pyhanlp
Chinese participle
pyhanlp is a Python interface for HanLP (Han Language Processing) that lets you use a mature Java-based NLP toolkit from Python workflows without rebuilding the underlying algorithms. It is commonly used for Chinese-language NLP tasks where you want production-grade tokenization and linguistic analysis, but still want the convenience of Python scripting. 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. ... -
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IceNLP is an open source Natural Language Processing (NLP) toolkit for analyzing and processing Icelandic text. The toolkit is implemented in Java.
