Michael Ajao-olarinoye's repositories
al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
databook_python
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz
EINNs
[AAAI-23] Epidemiologically-informed Neural Networks
enhancing-forecast-COVID-19
Contains the scripts for the paper entitled "Enhancing the estimation of compartmental model parameters for COVID-19 data with a high level of uncertainty".
EpiSciML-Tutorials
Julia for Epidemiology - With a Scientific Machine Learning Perspective
EulerPINNs_for_covidODEs
Euler and deep learning approach to solve ordinary equations and estimate parameters.
fall-in-love-with-julia
An introductory 101 series to get to know the power of Julialang
harmonic-oscillator-pinn-workshop
Introductory workshop on PINNs using the harmonic oscillator
KI2022-tutorial-universal-differential-equations
Universal Differential Equations in Julia - 3h Tutorial for KI2022
modeling-examples
Gurobi modeling examples
Modern-Time-Series-Forecasting-with-Python-2E
Modern Time Series Forecasting with Python 2E, Published by Packt
PINNs4COVID19
This repository was built to house the experimental data and code from the paper.
Prediction-COVID-19
Predicting the number of COVID-19 infections with DL like RNN, LSTM and PINN
pyblish
Making publishing quality plots from python.
PyTorchUltimateMaterial
This repo holds material for the Udemy course "PyTorch Ultimate"
sir-julia
Various implementations of the classical SIR model in Julia
vaccines-COVID-19
Code to replicate analysis and figures supporting the findings of the manuscript entitled "Impacts of a delayed and slow-paced vaccination on cases and deaths during the COVID-19 pandemic: a modelling study"