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Hussein Abdallah photo

hussien Goto Github PK

followers: 20.0 following: 178.0 repos: 223.0 gists: 0.0

Name: Hussein Abdallah

Type: User

Company: Computer Science PhD Candidate

Bio: PhD candidate/TA at Concordia University @CoDS-GCS , Interested in ML applications for large Scale KGs, Sampling for Graph neural networks,Dist-GNN

Twitter: Hussein_Abdala1

Location: Montreal,Canada

Hussein Abdallah's Projects

amazon-sagemaker-examples icon amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

arabert icon arabert

Pre-trained Transformers for the Arabic Language Understanding and Generation (Arabic BERT, Arabic GPT2, Arabic Electra)

aravec icon aravec

AraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.

autosf icon autosf

Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022

base64image icon base64image

Base64Image Plugin for CKEditor 4 - Adds images from local client as base64 string into the source without server side processing. You can also add external image urls into the source.

bfs-cuda icon bfs-cuda

Implementation of breadth first search on GPU with CUDA Driver API.

big-data icon big-data

Generating Movie Recommendations from 1 million user ratings data, using Hadoop map-reduce and Spark on AWS cloud clusters

biokg icon biokg

A Knowledge Graph for Relational Learning On Biological Data

bytubed icon bytubed

A Firefox extension to download YouTube videos in bulk: (old Website)

cgp icon cgp

Code for TNNLS paper: "Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks"

clusteringtableheaders icon clusteringtableheaders

This project aims at creating an RDF schema given a list of column headers of a tabular dataset. It first transforms the given header list into meaningful vectors, then it applies a distance-based Clustering algorithm such that it maximizes the similarity among headers inside one cluster. The user has the facility to move items from one cluster to another and merge among some clusters. The system can suggest cluster names based on the commonality among its members. If no common word found, it will produce Unknown. Afterwards, the user can rename the automatically generated names. Finally, it can expose the resultant clusters in an RDF format.

cntk icon cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

cogdl icon cogdl

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

computer-science icon computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

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