A website dedicated to showcasing the profiles of prominent Egyptian researchers in the field of AI.

A repo for open resources & information for people to succeed in PhD in CS & career in AI / NLP

A wrapper around speech quality metrics MOSNet, BSSEval, STOI, PESQ, SRMR, SISDR

Turn Python scripts into handouts with Markdown and figures

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

DELTA is a deep learning based natural language and speech processing platform.

Latex code for making neural networks diagrams

this repository accompanies my forthcoming book "Grokking Deep Learning"

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

An evolving guide to learning Deep Learning effectively.

Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Curated list of Python resources for data science.

VIP cheatsheets for Stanford's CS 229 Machine Learning

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Common statistical tests are linear models (or: how to teach stats)

The "Python Machine Learning (2nd edition)" book code repository and info resource

Deep neural network based speech enhancement toolkit

Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

Public facing notes page

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Repo for the Deep Learning Nanodegree Foundations program.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Code samples for my book "Neural Networks and Deep Learning"

Forced alignment and Goodness of Pronunciation (GOP) with DNN support. Bases on Kaldi.

list of conferences for ASR research

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding a…

Authoring Books and Technical Documents with R Markdown