Text extraction for Wagtail document search
- wagtail
- textract
- text-extraction
- tesseract
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Text extraction for Wagtail document search
Speech to text module for Godot 3
Make your neovim feel more like an IDE! A neovim plugin giving you context-aware backspace, handling pairs, whitespace and indentation.
Textures.js ported to React. Fully isomorphic.
The fastest parsing and generation of text data (Delphi6-XE10)
Naive Bayes text classification implementation as an OmniCat classifier strategy. (#ruby #naivebayes)
Text Generation using Markov Chains fed by 4chan APIs
Simple and customizable text tokenization gem.
Text language identification using Wikipedia data
A Neovim port of the classic blue theme from TextMate 💙
CLI tool that helps verify current status of URIs in text files
Haskell syntax highlighting that considers variable scopes. Inspired from "Context Coloring" by prof. Douglas Crockford.
V Text Rendering Engine
Public repository for the IEEE CIG text adventurer competition.
The soil mate app provides a simple and convenient way to collect soil data at sample locations in the field. The Soil Mate app is targeted across multiple industries, including agriculture, environmental science, geology, and mining. The current version of the app collects soil texture data.
Chainable AudioContext nodes
MicroPython Hershey font demo for the TTGO-LCD board
Texture Page Builder for GameMaker
TextMate support for R
Anahata ASI - Artificial Super Intelligence - Cross-Platform, Modular, Enterprise Ready, Open Source, Pure Java, AGI and ASI Containers. Context Window Garbage Collector, Stateful Toolkits, Flight Recorder. Autonomous Observable Auditable JVM Agent with JIT java code execution. Anahata ASI SDK, Anahata ASI Desktop, Anahata ASI Studio - NetBeans.
A Neovim plugin that surfaces React 'use client' boundaries by marking JSX usages of client components via virtual text, with smart import resolution and auto-refresh.
JSX/TSX text-objects and motions for Neovim
Add Speech to Text to your Omarchy (Arch Linux) System
This is a german ELMo deep contextualized word representation. It is trained on a special German Wikipedia Text Corpus.