.github

Descriptions of Mathepia System

awesome-bayesian-statistics

A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

awesome-sciml

Awesome-spatial-temporal-scientific-machine-learning-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included.

bayesian-filtering-and-smoothing

Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson

bayesian-julia

Bayesian Statistics using Julia and Turing

course-101-0250-00

ETH course - Solving PDEs in parallel on GPUs

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covidnpis

Data and code for COVID-19 NPI effectiveness estimation.

covidtimelinecanada

A definitive dataset for COVID-19 in Canada.

dde-biftool

DDE-BIFTOOL is a set of routines for performing numerical bifurcation analysis of delay-differential equations, running in MATLAB or GNU Octave

ddebifurcationkit.jl

numerical bifurcation analysis for DDE

deep-symbolic-optimization

Source code for deep symbolic optimization.

diffeqbayes.jl

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

dynamicaltruncation

dynamicppl.jl

Implementation of domain-specific language (DSL) for dynamic probabilistic programming

epimdj

A Julia port of the R code from Bjornstad's Epidemics: Models and Data Using R

epimdr

R package for "Epidemics: Models and data using R"

estimate-emergence-from-data

Code for reproducing the results from the preprint "Estimating the date of emergence of an epidemic outbreak from detection data: Applications to COVID-19".

fenics-pymc

Differentiable interface to FEniCS for PyMC3

fenrir.jl

Physics-Enhanced Regression for Initial Value Problems

gp-demo

Gaussian Process Regression Interactive Javascript Demo

julia-for-optimization-and-learning

julia-ml-course

Julia programming for Machine Learning course at TU Berlin

juliaepihandbook

Trying to recreate a version of the EpiRHandbook for new Julia users

machine-learning-and-simulation

All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

mathepia

Mathepia Ecosystem Official Website

mathepia.jl

Spatial and temporal epidemiology data mining flow tools including data processing and analysis, model setup and simulation, inference and evaluation. Focusing on state-of-the-art methods such as universal differential equations, epidemiology-informed deep learning methods.

mathepiadata.jl

Epidemic spatial and temporal model setup and simulation. Focusing on state of the art epidemiology models such as universal differential equations, epidemiology-informed deep learning models. Part of Mathepia.jl