Evrtext is a revolutionary platform that enables you to immortalize your words and images on the blockchain.

Single-Page-CV-html is a website based on a roadmap.sh page project.

JavaScript samples for Dashboards.JS data analysis tool for React applications

spare time projects

Easily convert text between different letter cases: lower case, UPPER CASE, Sentence case, Capitalized Case, aLtErNaTiNg cAsE and more online

Stand-off Text Annotation Model (STAM) is a data model for stand-off-text annotation where any information on a text is represented as an annotation. This repository contains the model's full specification, extensions, schemas, examples and documentation.

Text counter application in .NET using Blazor Server and Razor Pages in C#, and console application

Knowledge graph from unstructured text

Emdros is an object store for objects that are "inside" or "before/after" each other.

Knowledge graph from unstructured text

Text expander for android - with espanso config import/export

Code for the paper "Guiding sentiment analysis with hierarchical text clustering: Analyzing the German X/Twitter conversation on face masks in the 2020 COVID-19 pandemic"

<fit-text> Web Component

Text to Speech

This website is for Collecting the songs data from another website to this website and get the Json format data

Simple emulator of PLATO's character overwrite capability

Word Counter is a pretty simple project which requires you to build an application that can parse texts and show the number of words and characters contained in a write-up. You can also include additional functionality in the word counter to provide more advanced information such as the number of passive sentences in a block of text.

HTML версия сайта. Параллельные переводы философских текстов

Craft eye-catching scroll-triggered text animations with dynamic font effects using HTML, CSS, JavaScript, GSAP, and ScrollTrigger!

Engineered an advanced deep learning model to automate the classification of financial documents, including Balance Sheets, Cash Flow and Income Statements using Bidirectional LSTM and TensorFlow. The model achieved an impressive accuracy of 96.2%, enhancing efficiency and reducing errors in document management for the finance and banking sectors.