Abdullah Yahya Mohammed Muaad's Projects
This is the code for "The Future of Deep Learning Research" by Siraj Raval on Youtube
Arabic Text based misogyny detection
Brain Tumor Detection Using Convolutional Neural Networks.
Use of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation and using segmented image features for Survival Prediction of patients through deep neural networks.
Keras implementation of paper by the same name
Portfolio
Run VSCode (codeserver) on Google Colab or Kaggle Notebooks
COVID-Net Open Source Initiative
Building, Training and Testing Doc2Vec and Word2Vec (Skip-Gram) Model Using Gensim Library for Recommending Arabic Text.
links to conference publications in graph-based deep learning
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
LABR: Large Scale Arabic Book Reviews Dataset
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
This Repository contains the material for my tutorial "Managing the end-to-end machine learning lifecycle with MLFlow" at pyData/pyCon Berlin 2019.
Deep Learning (with PyTorch)
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Reproduce the paper Distributed Representations of Sentences and Documents in tensorflow
Text classifier for Hierarchical Attention Networks for Document Classification