Name: Mohammed Alshakhori
Type: User
Company: University of Arizona
Bio: 5th year PhD linguistics in Uni of Arizona. Interests are phonetics, NLP, and speech processing of Arabic varieties.
Twitter: MohamdShakori
Location: Tucson
Mohammed Alshakhori's Projects
You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples.
Second SIGMORPHON Shared Task on Grapheme-to-Phoneme Conversions
Personal website
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Pre-trained Transformers for the Arabic Language Understanding and Generation (Arabic BERT, Arabic GPT2, Arabic Electra)
End to end Arabic TTS system based on tacotron
Open source audio annotation tool for humans™
TensorFlow code and pre-trained models for BERT
Sample code for Channel 9 Python for Beginners course
A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.
[Please note: the Common Voice team is offline until March 15: https://discourse.mozilla.org/t/update-on-common-voice-mozilla-foundation/74526/] Common Voice is part of Mozilla's initiative to help teach machines how real people speak.
An implementation of Conformer: Convolution-augmented Transformer for Speech Recognition, a Transformer Variant in TensorFlow/Keras
The repository contains a collection of Arabic tweets IDs associated with the novel coronavirus COVID-19. The dataset contains Tweets' ids from 2020-01-01 to 2020-04-30. The Twitter search API was used to gather real-time tweets that contained specific keywords in the Arabic language. The dataset contains almost four millions and half Arabic tweets.
The repository contains an ongoing collection of tweets IDs associated with the novel coronavirus COVID-19 (SARS-CoV-2), which commenced on January 28, 2020.
I'll put all the valuable tutorials and starter codes of deep learning here.
Introduction to Deep Neural Networks with Keras and Tensorflow
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
DiaLex - A Benchmark for Evaluating Multidialectal Arabic Word Embeddings
End-to-End Speech Processing Toolkit
The fastai book, published as Jupyter Notebooks
The Gridspace-Stanford Harper Valley speech dataset. Created in support of CS224S.
An introduction to Python
Notebooks and code for the book "Introduction to Machine Learning with Python"
Write Markdown in Arabic