24 Repositories
Python arabic-parsers Libraries
Arabic Car License Recognition. A solution to the kaggle competition Machathon 3.0.
Transformers Arabic licence plate recognition 🚗 Solution to the kaggle competition Machathon 3.0. Ranked in the top 6️⃣ at the final evaluation phase
Constrained Language Models Yield Few-Shot Semantic Parsers
Constrained Language Models Yield Few-Shot Semantic Parsers This repository contains tools and instructions for reproducing the experiments in the pap
Arabic-Phonetic-Output - You can input the phonetic version of any Arabic text here. This software will show you output in Arabic (with vowels)
Arabic-Phonetic-Output You can input the phonetic version of any Arabic text her
Develop open-source Python Arabic NLP libraries that the Arab world will easily use in all Natural Language Processing applications
Develop open-source Python Arabic NLP libraries that the Arab world will easily use in all Natural Language Processing applications
Modeval (or Modular Eval) is a modular and secure string evaluation library that can be used to create custom parsers or interpreters.
modeval Modeval (or Modular Eval) is a modular and secure string evaluation library that can be used to create custom parsers or interpreters. Basic U
Modeval (or Modular Eval) is a modular and secure string evaluation library that can be used to create custom parsers or interpreters.
modeval Modeval (or Modular Eval) is a modular and secure string evaluation library that can be used to create custom parsers or interpreters. Basic U
Arabic speech recognition, classification and text-to-speech.
klaam Arabic speech recognition, classification and text-to-speech using many advanced models like wave2vec and fastspeech2. This repository allows tr
A collection of convenient parsers for Advent of Code problems.
Advent of Code Parsers A collection of convenient Python parsers for Advent of Code problems. Installation pip install aocp Quickstart You can import
An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come
An Agnostic Object Detection Framework IceVision is the first agnostic computer vision framework to offer a curated collection with hundreds of high-q
💬 Python scripts to parse Messenger, Hangouts, WhatsApp and Telegram chat logs into DataFrames.
Chatistics Python 3 scripts to convert chat logs from various messaging platforms into Pandas DataFrames. Can also generate histograms and word clouds
Maha is a text processing library specially developed to deal with Arabic text.
An Arabic text processing library intended for use in NLP applications Maha is a text processing library specially developed to deal with Arabic text.
Telegram Bot to learn English by words and more.. ( in Arabic )
Get the mp3 files Extract the mp3.rar on the same file that bot.py on install requirements pip install -r requirements.txt #Then enter you bot token
The first online catalogue for Arabic NLP datasets.
Masader The first online catalogue for Arabic NLP datasets. This catalogue contains 200 datasets with more than 25 metadata annotations for each datas
An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come
IceVision is the first agnostic computer vision framework to offer a curated collection with hundreds of high-quality pre-trained models from torchvision, MMLabs, and soon Pytorch Image Models. It orchestrates the end-to-end deep learning workflow allowing to train networks with easy-to-use robust high-performance libraries such as Pytorch-Lightning and Fastai
A Tool that provides automatic kerning for ligature based OpenType fonts in Microsoft Volt
Kerning A Tool that provides automatic kerning for ligature based OpenType fonts in Microsoft Volt There are three stages of the algorithm. The first
Arabic to Roman Converter in Python
Arabic-to-Roman-Converter Made together with https://github.com/goltaraya . Arabic to Roman Converter in Python. -Instructions: 1 - Make sure you have
A dataset for online Arabic calligraphy
Calliar Calliar is a dataset for Arabic calligraphy. The dataset consists of 2500 json files that contain strokes manually annotated for Arabic callig
A versatile token stream for handwritten parsers.
Writing recursive-descent parsers by hand can be quite elegant but it's often a bit more verbose than expected, especially when it comes to handling indentation and reporting proper syntax errors. This package provides a powerful general-purpose token stream that addresses these issues and more.
CLI tool and python library that converts the output of popular command-line tools and file-types to JSON or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts.
jc JSONifies the output of many CLI tools and file-types for easier parsing in scripts
OCR system for Arabic language that converts images of typed text to machine-encoded text.
Arabic OCR OCR system for Arabic language that converts images of typed text to machine-encoded text. The system currently supports only letters (29 l
Python library for creating PEG parsers
PyParsing -- A Python Parsing Module Introduction The pyparsing module is an alternative approach to creating and executing simple grammars, vs. the t
This repository is related to an Arabic tutorial, within the tutorial we discuss the common data structure and algorithms and their worst and best case for each, then implement the code using Python.
Data Structure and Algorithms with Python This repository is related to the Arabic tutorial here, within the tutorial we discuss the common data struc
Python library for creating PEG parsers
PyParsing -- A Python Parsing Module Introduction The pyparsing module is an alternative approach to creating and executing simple grammars, vs. the t
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
EasyOCR Ready-to-use OCR with 80+ languages supported including Chinese, Japanese, Korean and Thai. What's new 1 February 2021 - Version 1.2.3 Add set