Name: EL Moatez Billah Nagoudi
Type: User
Company: University of British Columbia (UBC)
Bio: Ph.D. in Computer Science.
Postdoctoral Fellow
Natural Language Processing Lab
University of British Columbia (UBC)
Twitter: e_nagoudi
Location: Canada
EL Moatez Billah Nagoudi's Projects
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Arabic Dialects Datasets
An open-source NLP research library, built on PyTorch.
AraBERT: Pre-training BERT for Arabic Language Understanding
Arabic-English Cross-Lingual Word Embedding Model
ArbEngVec is a Cross-lingual word embedding model project and this repository contains its variants
Implementation of many Arabic NLP and ML projects. Providing real time experience using many interfaces like web, command line and notebooks.
awesome nlp resource
SQuAD Question Answering Using BERT, PyTorch
This is a project with Scrapy and Selenium combined in order to crawl booking.com site for hotels and their reviews of a pre-specified city
Shared Task: Machine Translation for Chats
Reverse engineered ChatGPT API
Official Matplotlib cheat sheets
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
Add GPS coordinates to city names in Arabic texts
The scripts include: Text segmentation into sentences, remove numbers, diacritics, replacated carracters, non arabic words, ponctuatons, etc
Making large AI models cheaper, faster and more accessible
Large datasets for conversational AI
The coronavirus dataset
The Hugging Face course
UBC Deep Learning for Natural Language Processing Course
DeLighT: Very Deep and Light-Weight Transformers
Diabetes Dataset Classification with A Random Forest (RF) Classifier
A repo to explore different NLP tasks which can be solved using T5
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Fake and Legit News Dataset. ***The Most Innovative Dataset*** prize in Qatar International Cybersecurity Contest (QICC) October 3rd 2019. Team: DZ-NLP members: 1- Dr. Nagoudi El Moatez Billah. 2- Student Raki Lachraf.
Fake News Detection: Model implementations and Hyper-Parameters