Mohamed Abuella's Projects
Mastering-Python-Data-Analysis
System identification toolbox for GNU Octave and MATLAB
Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.
Introduction to Mathematical Computing with Python and Jupyter
Discover pretrained models for deep learning in MATLAB
Stand up a MATLAB desktop with Remote Desktop access using Azure Deployment
MATLAB PV function library
MATPOWER – steady state power flow simulation and optimization for MATLAB and Octave
Data from the M-competitions
Repository containing notebooks of my posts on Medium
Sample of Python codes from mathematical problems
R package to implement the MEFM
Jupyter/IPython Kernel Tools
A package to access outputs from Numerical Weather Prediction models both in raster format and as a time series for a location
Access and analyze historical weather and climate data with Python.
Python application for downloading meteorological reanalysis data
Website
Binary Particle Swarm Optimization applied to the unit commitment problem in an electric microgrid.
power systems tools made beautiful
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Articles on machine learning
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.