Mathepia/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.
This project compiles resources for researchers and practitioners working with spatial and temporal data in scientific machine learning, particularly within mathematical epidemiology. It provides links to Julia and Python packages, data sources, and epidemic repositories for tasks like data preprocessing, statistical analysis, and advanced modeling. Researchers in fields such as public health, epidemiology, or computational biology who need to analyze disease spread or similar dynamic systems would find this useful.
No commits in the last 6 months.
Use this if you are an epidemiologist, public health researcher, or data scientist looking for a curated list of tools and resources to model and analyze spatial-temporal data, especially concerning infectious diseases.
Not ideal if you are looking for a ready-to-use software application or a single package to solve a specific problem, as this is primarily a curated list of external resources.
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JavaScript
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MIT
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Last pushed
Dec 03, 2022
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