Alternatives and similar repositories for covid_bayesian_mcmc:

Users that are interested in covid_bayesian_mcmc are comparing it to the libraries listed below

• UGentBiomath / COVID19-Model
  Compartmental SEIQRD model to model the effects of government policies on SARS-CoV-2 spread in Belgium. Macro-economic Input-Output model…
  ☆23Updated 2 months ago
• silpara / simulators
  Simulators for Compartmental Models in Epidemiology
  ☆39Updated 4 years ago
• rrtucci / JudeasRx
  python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.
  ☆25Updated 2 years ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆115Updated last year
• joergrieger / pybvar
  Bayesian Vector Autoregression in Python
  ☆25Updated 5 years ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆156Updated 5 years ago
• behnamnkp / Deep-MTS-LSTM
  ☆12Updated last year
• TNO / Covid-SEIR
  Forecasting hospitalization and ICU rates of the COVID-19 outbreak: an efficient SEIR model
  ☆13Updated 4 years ago
• AlxndrMlk / talks-and-workshops
  Materials for conference talks and workshops
  ☆31Updated last year
• amazon-science / azcausal
  Causal Inference in Python
  ☆41Updated 2 months ago
• PingEnLu / Time-dependent_SIR_COVID-19
  Codes for the paper "A Time-dependent SIR model for COVID-19 with Undetectable Infected Persons"
  ☆19Updated 9 months ago
• DarkEyes / VLTimeSeriesCausality
  A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.
  ☆54Updated 9 months ago
• jessegrabowski / statespace-presentation
  Presentation materials for PyMC Statespace
  ☆16Updated 6 months ago
• juanitorduz / website_projects
  Repository containing the code of the projects presented in my personal website.
  ☆41Updated this week
• Bo-Ning / Bayesian-multivariate-time-series-causal-inference
  R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
  ☆45Updated 4 years ago
• pymc-devs / pymc-bart
  ☆106Updated this week
• jckantor / covid-19
  Simulation of the COVID-19 outbreak using standard epidemiological models
  ☆39Updated 4 years ago
• jkbren / presilience
  resilience and prospective resilience of complex networks
  ☆20Updated 3 years ago
• annennenne / causalDisco
  Tools for causal discovery in R
  ☆19Updated 3 weeks ago
• Chrisejorge / Causal-Inference
  Materials Collection for Causal Inference
  ☆45Updated last year
• pymc-devs / pymc-data-umbrella
  Website: Data Umbrella & PyMC open source sessions
  ☆26Updated 9 months ago
• luisroque / bayesian_time_series
  Machine Learning models using a Bayesian approach and often PyMC3
  ☆24Updated 4 years ago
• SimonOuellette35 / Introduction_to_PyMC3
  ☆39Updated 6 years ago
• vcerqueira / MLforForecasting
  Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
  ☆40Updated 5 years ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆77Updated 10 months ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• KishManani / MSTL
  Notebook to accompany MSTL article
  ☆38Updated 2 years ago
• fmorenopino / HeterogeneousHMM
  Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…
  ☆77Updated last year
• NSSAC / PatchSim
  Code for simulating the metapopulation SEIR model. Sample network for US national simulation included.
  ☆25Updated 9 months ago
• covid19-model / simulator
  Spatiotemporal epidemic model introduced in the context of COVID-19, ACM TSAS, 2022
  ☆74Updated 3 months ago