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Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Examples of parameter estimation in cardiac cell electrophysiology using Myokit and PINTS.
Simula Cardiac ElectroMechanics Solver
Pedagogical materials for learning COVID-19 transmission dynamics modelling
"Probabilistic Machine Learning" - a book series by Kevin Murphy
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Code for a dynamic multilevel Bayesian model to predict US presidential elections. Written in R and Stan.
Exploratory analysis of Bayesian models with Python
Bayesian Data Analysis course at Aalto
Data and code for reproducing the results in the nonlinear time-dependent leak paper.
Visualizations of the connections between chaos theory and fractals through the logistic map; made for Veritasium YouTube video
Code to add a mathematical model of voltage-clamp artefacts to your ion channel simulations
Figures and code for examples in WIREs review on calibrating electrophysiology models
Course materials for Research Software Engineering course.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Code for the tutorials in the Fickle Heart model calibration with discrepancy 2020 paper.
Collection of experimental protocols in common patch clamp formats for rapid characterisation of ion channels
Rapid characterisation of hERG channel kinetics