JuliaEpi/MathEpiDeepLearning
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.
This is a curated collection of Julia and Python packages for researchers and practitioners in mathematical epidemiology and related fields. It provides resources for analyzing and modeling infectious disease spread, covering everything from data preprocessing and visualization to advanced deep learning methods and theoretical analysis. Epidemiologists, public health researchers, and data scientists working with spatial and temporal health data will find this useful.
No commits in the last 6 months.
Use this if you need to find existing open-source tools and libraries for modeling, analyzing, or understanding infectious disease dynamics using computational or data science methods.
Not ideal if you are looking for a ready-to-use application or a step-by-step tutorial for a specific epidemic modeling task.
Stars
32
Forks
6
Language
JavaScript
License
MIT
Category
Last pushed
Aug 13, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/JuliaEpi/MathEpiDeepLearning"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
sbi-dev/sbi
sbi is a Python package for simulation-based inference, designed to meet the needs of both...
SMTorg/smt
Surrogate Modeling Toolbox
reservoirpy/reservoirpy
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
GPflow/GPflow
Gaussian processes in TensorFlow
thousandbrainsproject/tbp.monty
Monty is a sensorimotor learning framework based on the thousand brains theory of the neocortex.