Statistics for topic epidemiology
RepositoryStats tracks 613,979 Github repositories, of these 39 are tagged with the epidemiology topic.
Stargazers over time for topic epidemiology
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Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
Functions to simplify and standardise antimicrobial resistance (AMR) data analysis and to work with microbial and antimicrobial properties by using evidence-based methods, as described in https://doi....
Tools to enable flexible and efficient hierarchical nowcasting of epidemiological time-series using a semi-mechanistic Bayesian model with support for a range of reporting and generative processes.
Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
Tools to enable flexible and efficient hierarchical nowcasting of epidemiological time-series using a semi-mechanistic Bayesian model with support for a range of reporting and generative processes.
Functions to simplify and standardise antimicrobial resistance (AMR) data analysis and to work with microbial and antimicrobial properties by using evidence-based methods, as described in https://doi....
Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
BioDynaMo is a high-performance and modular, agent-based simulation platform.
Tutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3
R package with classes and helper functions for working with epidemiological parameters and access to a library of epidemiological parameters for infectious diseases
Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
BioDynaMo is a high-performance and modular, agent-based simulation platform.