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COVID-SEIR
COVID-SEIR PublicA stochastic epidemiological model that supplements the conventional reported cases with pooled samples from wastewater for assessing the overall SARS-CoV-2 burden at the community level.
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Repositories
- MMSFM Public
Official PyTorch implementation for the ICML 2025 paper "Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points" by Justin Lee, Behnaz Moradijamei, and Heman Shakeri
Shakeri-Lab/MMSFM’s past year of commit activity - shakeri-lab.github.io Public
Shakeri-Lab/shakeri-lab.github.io’s past year of commit activity - loop_modulus Public
Shakeri-Lab/loop_modulus’s past year of commit activity - girth Public
Shakeri-Lab/girth’s past year of commit activity - pysb-simulation Public
Shakeri-Lab/pysb-simulation’s past year of commit activity - COVID-SEIR Public
A stochastic epidemiological model that supplements the conventional reported cases with pooled samples from wastewater for assessing the overall SARS-CoV-2 burden at the community level.
Shakeri-Lab/COVID-SEIR’s past year of commit activity - jupyter-notebook-hosted Public
Shakeri-Lab/jupyter-notebook-hosted’s past year of commit activity - opioidepidemics Public
Shakeri-Lab/opioidepidemics’s past year of commit activity
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