Priesemann-Group / covid19_inferenceLinks
Bayesian python toolbox for inference and forecast of the spread of the Coronavirus
☆72Updated 2 years ago
Alternatives and similar repositories for covid19_inference
Users that are interested in covid19_inference are comparing it to the libraries listed below
Sorting:
- ☆179Updated 2 years ago
- Educational resources☆104Updated 3 years ago
- Epidemic Modeling for Everyone☆290Updated 5 months ago
- Statistical Rethinking course in pymc3☆143Updated 5 years ago
- Bayesian modeling of COVID-19☆31Updated 2 years ago
- Inference case studies in jupyter☆93Updated 6 years ago
- Hidden Markov models in PyMC3☆99Updated last year
- Scenario analyses for COVID-19 outbreak in the United Kingdom☆66Updated 5 years ago
- Interfacing several COVID-19 related datasets☆45Updated 3 years ago
- Temporal variation in transmission during the COVID-19 outbreak☆109Updated 3 years ago
- Repository for all scripts required to replicate the CFR analysis for paper submission.☆71Updated 4 years ago
- Analyses about the COVID-19 virus☆155Updated 5 years ago
- Generic curve fitting package with nonlinear mixed effects model☆192Updated 3 years ago
- ☆31Updated 5 years ago
- ☆120Updated this week
- Statistical Rethinking (2nd Ed) with Tensorflow Probability☆272Updated 3 years ago
- Repository with code, notebook and slides for my talk at PyConDE & PyData Berlin 2019☆37Updated 2 years ago
- ☆73Updated 7 years ago
- Exploring and eliciting probability distributions☆152Updated 2 weeks ago
- PyRoss: inference, forecasts, and optimised control of epidemiological models in Python. github.com/rajeshrinet/pyross☆168Updated last year
- Inference case studies in knitr☆169Updated 3 years ago
- Underlying SEIR simulator for the YYG / covid19-projections.com model☆203Updated 4 years ago
- Data and code for COVID-19 NPI effectiveness estimation.☆30Updated 4 years ago
- Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.☆95Updated last year
- Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.☆179Updated last year
- ☆24Updated 5 years ago
- Python wrapper for nuts-rs☆177Updated last week
- Randomization-based inference in Python☆83Updated last week
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Updated last year
- ☆36Updated 5 years ago