Search Results for "text processing" - Page 19
Sort By:
Showing 1744 open source projects for "text processing"
View related business solutions-
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.
-
Try Google Cloud Risk-Free With $300 in CreditUse your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
-
1
Blackfriday
Blackfriday, a markdown processor for Go
Blackfriday is a Markdown processor implemented in Go. It is paranoid about its input (so you can safely feed it user-supplied data), it is fast, it supports common extensions (tables, smart punctuation substitutions, etc.), and it is safe for all utf-8 (unicode) input. HTML output is currently supported, along with Smartypants extensions. It started as a translation from C of Sundown. Blackfriday itself does nothing to protect against malicious content. If you are dealing with user-supplied... -
2
QVASIMODO's String Tools
This project is a quick way of applying macros to a portion of text.
This project is basically a quick way of applying macros, i.e., sequences of editing commands, to a portion of text. You create a "ruleset", which is basically a sequence of "rules" to be sequentially applied to the source text. The original text is entered in the top left box, while the result appears in the top right box. Program configuration is stored in a sqlite file in a '.panglossa' directory in the user's home folder. Remember that the "rules", or commands, will be... -
3
NLP.js
An NLP library for building bots
...Sentiment Analysis for phrases (with negation support). Named Entity Recognition and management, multi-language support, and acceptance of similar strings, so the introduced text does not need to be exact. Natural Language Processing Classifier, to classify an utterance into intents. NLP Manager, a tool able to manage several languages, the Named Entities for each language, the utterances, and intents for the training of the classifier, and for a given utterance return the entity extraction, the intent classification and the sentiment analysis. -
4
TexToSpeech
TexToSpeech genera interpretaciones de texto a voz
La presente herramienta genera interpretaciones de texto a voz utilizando las voces instaladas en tu ordenador por defecto. Puedes exportar el resultado del texto a voz generado en archivos .mp3. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
5
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
-
6
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. -
7
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.
-
8
-
9
-
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
-
10
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: -
11
GluonNLP
NLP made easy
GluonNLP is a toolkit that helps you solve NLP problems. It provides easy-to-use tools that helps you load the text data, process the text data, and train models. To facilitate both the engineers and researchers, we provide command-line-toolkits for downloading and processing the NLP datasets. Gluon NLP makes it easy to evaluate and train word embeddings. Here are examples to evaluate the pre-trained embeddings included in the Gluon NLP toolkit as well as example scripts for training embeddings on custom datasets. ... -
12
DeText
A Deep Neural Text Understanding Framework
DeText is a Deep Text understanding framework for NLP-related ranking, classification, and language generation tasks. It leverages semantic matching using deep neural networks to understand member intents in search and recommender systems. As a general NLP framework, DeText can be applied to many tasks, including search & recommendation ranking, multi-class classification and query understanding tasks. -
13
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.
-
14
NLP-Models-Tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP
NLP-Models-Tensorflow is a collection of natural language processing model implementations built using the TensorFlow deep learning framework. The repository provides numerous examples of neural network architectures used in modern NLP research and applications, including text classification, language modeling, machine translation, and sentiment analysis. Each model implementation is designed to illustrate how common NLP architectures operate, such as recurrent neural networks, convolutional models for text processing, and transformer-style attention mechanisms. ... -
15
Leseratte is a Java parser for German written language. Currently, it contains a German lexicon (based on the Wiktionary), inflexion rules, a grammar and a parser. (Semantics component planned.) Usable as a Java library, also provides a graphical UI.
-
16
Delta ML
Deep learning based natural language and speech processing platform
...It helps you to train, develop, and deploy NLP and/or speech models. Use configuration files to easily tune parameters and network structures. What you see in training is what you get in serving: all data processing and features extraction are integrated into a model graph. Text classification, named entity recognition, question and answering, text summarization, etc. Uniform I/O interfaces and no changes for new models. -
17
Program wordTabulator is intended for text analysis. It can generate index of word elements extracted from defined text set. Word elements may be words, N-grams or phrases (syntagmes). The program can process texts as in ordinary 1-byte encoding (ANSI), as in multibyte UTF-8 encoding.
-
18
FREE CSV & Text (TXT) File Splitter
Ability to work with large csv files and cut them down to run in Excel
This CSV and TXT file splitter firstly allows you to work with large data files. We have tested this on the largest CSV file we could find. It had over 25.6 Million rows. Microsoft Excel can only load 1 Million rows. So the challenege was on! Splitting a file in this case by 990,000 rows made sure that it was more than capable to load into excel. Splitting 25.6Million rows took aroud 50 minutes. Has been tested reading 25Million rows which took around 15 seconds to read. Its... -
19
Xi Editor
A modern editor with a backend written in Rust
xi Editor (often styled “Xi”) is a project to build a modern, high-performance text editor designed for large files, extensibility, and native UI integration. Its architecture splits a thin UI layer from a high-performance core engine (written in Rust) that handles buffer editing, syntax highlighting, undo/redo, searching, and background processing asynchronously. This separation lets the core focus on speed and concurrency, while multiple frontends (macOS, GTK, web) handle rendering, input, and platform bridging. ... -
20
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... -
21
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. -
22
EF-SKHR
Éditeur de fichier
EF-SKHR est un éditeur de fichier développé par Loyto_SKHR en C++ avec la bibliothèque QT5.9. Code source: https://github.com/Loyto-SKHR/EF-SKHR. -
23
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. ... -
24
BRIC
BRIC is a powerful tool for batch image processing.
Bric is a cross-platform batch image processor. You can convert, resize, rotate and add watermark to your images. Multiple file types are supported for input and output. The project started back in 2011 and was maintained for a couple of years. In 2020 BRIC is again in active development, so some of the features written below might be outdated. Please be patient, until everything is reviewed and rewritten. -
25
Data Science at the Command Line
Data science at the command line
...To get you started, author Jeroen Janssens provides a Docker image packed with over 100 Unix power tools, useful whether you work with Windows, macOS, or Linux. You’ll quickly discover why the command line is an agile, scalable, and extensible technology. Even if you’re comfortable processing data with Python or R, you’ll learn how to greatly improve your data science workflow by leveraging the command line’s power.
