Search Results for "text processing" - Page 4
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Showing 471 open source projects for "text processing"
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Terminals Are Sexy
A curated list of Terminal frameworks, plugins & resources
...The list favors practical, well-maintained projects and is organized so you can quickly discover alternatives for common tasks (navigation, search, networking, monitoring, text processing, and more). It also points to customization ideas—prompts, themes, and fonts—that help you craft a clear, legible, and pleasant environment. Because it’s a living list, contributions are encouraged, keeping entries current as tools evolve. If you spend time in a terminal—whether writing code, administering systems, or just automating chores—this is a single, convenient place to find better defaults and new favorites. -
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Buzz is a fast graphical editor for XML files with special support for OPML. Using the OPML convergence tools it will edit about any outline and many forms of indented text, including Python. In fact, Buzz was written with Buzz! It is written in P
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RText is a customizable programmer's text editor written in Java. Some of its features include: syntax highlighting, editing multiple documents at once, printing and print preview, find/replace/find in files dialogs, undo/redo, and online help.
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SynEditCb
SynEdit in C++ for C++Builder
C++ Builder users without a Delphi license were previously unable to compile the demos. It works with SynditCB. The C++ version located in the "Demos" folder requires the SynEdit components to be installed in the IDE. A second version of these projects is located in the DemosCb folder. Here, instead of the installed components, the source code of the SynEdit components translated to C++ is used, which is in the folder SourceCppRun. The code was translated using the Delphi2CB tool. The... -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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Next Generation Programming
Compose Software Without Writing Any Programing Code
"Next Generation Programming - Programming Without Coding Software" is a drag-drop wizard for creating simple or complex applications without writing any programming language code The Software is coded/designed with "Java Programming Language" for novice/expert programmers; Programmers can write softwares with visual tools : drag-drop components;visual editors... Programmers can use the software to compose of simple/complex applications : Database programs, circuit design, generate... -
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CNote
A Fast Lightweight Note & Code Editor
CNote is a fast and lightweight note/code editor, it can help you quickly create/edit notes or write code. it has all the important features you need in one place, With Live Html Preview, Python Code Execution, and more, you can find the changelog at the Github repo. -
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Paperless-ng
A supercharged version of paperless, scan, index and archive docs
Paperless is a simple Django application running in two parts, a Consumer (the thing that does the indexing) and a Web server (the part that lets you search & download already-indexed documents). Paper is a nightmare. Environmental issues aside, there’s no excuse for it in the 21st century. It takes up space, collects dust, doesn’t support any form of a search feature, indexing is tedious, it’s heavy and prone to damage & loss. I wrote this to make “going paperless” easier. I do not have to... -
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libpostal
A C library for parsing/normalizing street addresses around the world
A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data. libpostal is a C library for parsing/normalizing street addresses around the world using statistical NLP and open data. The goal of this project is to understand location-based strings in every language, everywhere. Addresses and the locations they represent are essential for any application dealing with maps (place search, transportation, on-demand/delivery services,... -
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template-message-sdk
Sdk for dynamic generating message by templates
A small library for creating templates from blocks using code. The same blocks can be used for different templates. The basic principle of working with the library is to provide a flexible and simple system for writing dynamically generated text. -
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Word2ePub
Add-in pour générer un ePub depuis Word (2007 et sup.)
Update : J'ai eu beaucoup de difficultés avec l'installeur : actuellement, l'installeur fait une installation pour l'utilisateur actuel seulement. Les filtres chrome, Avast et Windows peuvent se déclencher car le fichier n'est pas souvent téléchargé... Word 2007: Attention, installer le hot fix de microsoft avant l'installation de word2epub :https://support.microsoft.com/en-us/kb/976811 Ce programme ajoute un onglet dans le ruban Word, pour permettre : 1. La génération d'ePub... -
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Big List of Naughty Strings
List of strings which have a high probability of causing issues
...Because it’s crowdsourced, it reflects real issues practitioners have faced in production, not just theoretical cases. Using the list regularly helps harden applications against the fragile edges of text processing and user input. -
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HTML parser in Delphi
A Delphi class with functions to read and dissect a HTML file
...Functions are provided to select elements on the basis of the attribute values or tag names. The structure of the tree can be shown and it can be rendered as plain text. The source is plain Delphi pascal, requiring a version that supports Tdictionary. There is no dependency on 3rd party units. The file to be parsed must have valid HTML4/5 tags. It is not necessary that the HTML is ‘correct’ in the sense that end tags may be wrongly placed or be absent altogether. The speed of processing (reading+parsing) is formidable: 15-40 msec per Mbyte or around 1 msec per 1000 HTML tags. -
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fastNLP
fastNLP: A Modularized and Extensible NLP Framework
...Provide a variety of neural network components and recurrence models (covering tasks such as Chinese word segmentation, named entity recognition, syntactic analysis, text classification, text matching, metaphor resolution, summarization, etc.). Trainer provides a variety of built-in Callback functions to facilitate experiment recording, exception capture, etc. Automatic download of some datasets and pre-trained models. -
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up
A tool for writing Linux pipes with instant live preview
...The main goal of the Ultimate Plumber is to help interactively and incrementally explore textual data in Linux, by making it easier to quickly build complex pipelines, thanks to a fast feedback loop. This is achieved by boosting any typical Linux text-processing utils such as grep, sort, cut, paste, awk, wc, perl, etc., etc., by providing a quick, interactive, scrollable preview of their results. To start using up, redirect any text-emitting command (or pipeline) into it. Use PgUp/PgDn and Ctrl-[←]/Ctrl-[→] for basic browsing through the command output. In the input box at the top of the screen, start writing any bash pipeline; then press Enter to execute the command you typed, and the Ultimate Plumber will immediately show you the output of the pipeline in the scrollable window. -
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Flat file extractor can be used for reading and parsing different flat file structures and printing them in different formats. ffe is a command line tool developed in GNU/Linux environment and it is distributed under GPL. Project moved to https://github.com/igitur/ffe
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Pure Bash Bible
A collection of pure bash alternatives to external processes
...Its goal is to reduce reliance on external tools like sed, awk, or grep, which can slow down scripts and add unnecessary dependencies. The project is organized as a reference book of function-based code snippets, each showcasing practical solutions for string manipulation, text processing, file operations, and more. By relying exclusively on Bash built-ins, these methods can make scripts faster, more portable, and easier to maintain. Every snippet is linted with shellcheck, and many have accompanying tests, ensuring correctness and usability. The project is not only a coding resource but also an educational tool for Bash users who want to better understand the full power of the language. -
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Search and replace operations on file content accross multiple files. Recursive operations within entire directory trees. FAR comes with support for regular expressions (regex) over multiple lines, automatic backup and various character encodings. Run grep like extractions to condense or rearrange sources, or perform bulk file renaming.
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CSVfix
Command-line tool specifically designed to deal with CSV data
...Unfortunately, the CSV files you are given, or are required to produce, never seem to be in quite the right format for your particular business application. And because of the structure of CSV records, using standard text processing tools like sed, awk and perl is not as simple as it might be. Usage: http://csvfix.byethost5.com/csvfix15/csvfix.html?csvfix.html?Usage.html?i=1&i=2 CSVfix aims to provide a solution to these problems. It is a command-line stream editor specifically designed to deal with CSV data. With it you can, among other things: -
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A collection of small utilities for: data extraction (text or binary files), data buffering, message queue control, column addition, date/time manipulation, and data recovery testing.
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Euler
A distributed graph deep learning framework.
As a general data structure with strong expressive ability, graphs can be used to describe many problems in the real world, such as user networks in social scenarios, user and commodity networks in e-commerce scenarios, communication networks in telecom scenarios, and transaction networks in financial scenarios. and drug molecule networks in medical scenarios, etc. Data in the fields of text, speech, and images is easier to process into a grid-like type of Euclidean space, which is suitable for processing by existing deep learning models. Graph is a data type in non-Euclidean space and cannot be directly applied to existing methods, requiring a specially designed graph neural network system. Graph-based learning methods such as graph neural networks combine end-to-end learning with inductive reasoning, and are expected to solve a series of problems such as relational reasoning and interpretability that deep learning cannot handle. -
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PyCBC
Learn how to use PyCBC to analyze gravitational-wave data
PyCBC is a software developed by a collaboration of LIGO, Virgo, and independent scientists. It is open source and freely available. We use PyCBC in the detection of gravitational waves from binary mergers such as GW150914. These examples explore how to analyze gravitational wave data, how we find potential signals and learn about them. Many of these tutorials will require you to make edits to config files as part of their exercises. At the moment this isn't easy to do on services like... -
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Forms
An easy way to create, parse and validate forms in node.js
...It allows developers to define form schemas using a declarative API, specifying fields, validation rules, and data transformations in a consistent format. The library supports a wide range of input types, including text, numbers, dates, and custom fields, making it adaptable to different application needs. It includes built-in validation mechanisms that ensure user input meets specified constraints before being processed. Forms also provides utilities for rendering HTML form elements, reducing the need for manual template coding. It integrates with popular Node.js web frameworks, enabling seamless handling of form submissions and data processing. ... -
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AhoCorasickDoubleArrayTrie
An extremely fast implementation of Aho Corasick algorithm
...It is designed for fast keyword scanning across large texts, where you want to search for many patterns simultaneously and efficiently. The core idea is to build an automaton from a dictionary of patterns, then stream through input text to emit matches with minimal overhead. By using a double-array trie representation, the project emphasizes performance and memory efficiency compared to simpler pointer-heavy trie structures, which can matter a lot for large dictionaries or latency-sensitive services. This makes it a strong fit for tasks like content filtering, entity/term spotting, dictionary-based annotation, or high-throughput log/text processing. ... -
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PyTorch Natural Language Processing
Basic Utilities for PyTorch Natural Language Processing (NLP)
PyTorch-NLP is a library for Natural Language Processing (NLP) in Python. It’s built with the very latest research in mind, and was designed from day one to support rapid prototyping. PyTorch-NLP comes with pre-trained embeddings, samplers, dataset loaders, metrics, neural network modules and text encoders. It’s open-source software, released under the BSD3 license. With your batch in hand, you can use PyTorch to develop and train your model using gradient descent. -
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A collection of S-Lang extension scripts (modes) for the Jed text editor, contributed by Jed users. Browse the repository at http://jedmodes.sf.net/
