Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML
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Updated
Dec 5, 2022 - Julia
Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML
Awesome-spatial-temporal-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. Keep updating.
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.
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.
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
Tutorials on math epidemiology and epidemiology informed deep learning methods
Optimal epidemic control by deep learning techniques
Solving Universal Differential Equations in Julia
Codes for paper "Estimating time-varying reproduction number by deep learning techniques"
Codes for Paper "Discovering first-principle behavior change transmission models by deep learning methods, Pengfei Song, Yanni Xiao, Jianhong Wu."
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