Julia

Normalising Flows and Neural ODEs

1 A few words about Generative Models 1.1 Introduction 1.2 Latent variables 1.3 Examples of generative models 1.3.1 Generative Adversarial Networks (GANS) 1.3.2 Variational autoencoders 1.

Presentation at the Kong Kong Machine Learning meetup

I recently made a presentation at the regular Hong Kong Machine Learning meetup organised by Gautier Marti. The presentation was an introduction to Julia and used as an example a SEIR model COVID-19 I had written.

Forecasting the progression of COVID-19

The Neherlab COVID-19 forecast model Basic assumptions Overview Age cohorts Severity Seasonality Transmission reduction Details of the model Population compartments Model parameters Infection After infection Load data Initialise parameters Fixed constants Infrastructure Parameter vector Population Parameters vector Differential equation solver Bilibliography The Neherlab COVID-19 forecast model using CSV, Dates; using DataFrames, DataFramesMeta; using Plots, PyPlot; using DifferentialEquations; This is more a data science post than machine learning.