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 3 months ago
• jessegrabowski / statespace-presentation
  Presentation materials for PyMC Statespace
  ☆22Updated 8 months ago
• rrtucci / JudeasRx
  python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.
  ☆25Updated 2 years ago
• jkbren / presilience
  resilience and prospective resilience of complex networks
  ☆21Updated 3 years ago
• Chrisejorge / Causal-Inference
  Materials Collection for Causal Inference
  ☆45Updated 2 years ago
• ghosthamlet / ananke
  Ananke named for the Greek primordial goddess of necessity and causality, is a python package for causal inference using the language o…
  ☆14Updated 4 years ago
• AlxndrMlk / talks-and-workshops
  Materials for conference talks and workshops
  ☆31Updated last year
• jessegrabowski / pymc_statespace
  A system for Bayesian estimation of state space models using PyMC
  ☆33Updated last year
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆51Updated 5 months ago
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆137Updated 9 months ago
• FJRubio67 / StatisticalInference
  Lecture Notes on Statistical Inference
  ☆76Updated 6 months ago
• ChadFulton / fulton_statsmodels_2017
  State Space Estimation of Time Series Models in Python: Statsmodels
  ☆44Updated 8 years ago
• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆98Updated this week
• joergrieger / pybvar
  Bayesian Vector Autoregression in Python
  ☆27Updated 5 years 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.
  ☆56Updated 11 months ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆81Updated 4 months ago
• pymc-devs / pymc-bart
  ☆109Updated this week
• SimonOuellette35 / Introduction_to_PyMC3
  ☆39Updated 6 years ago
• worldbank / covid19-agent-based-model
  This repository contains the Python implementation of the agent-based model used to model the spread of COVID-19.
  ☆41Updated 4 years ago
• AlxndrMlk / blogs-code
  Code for blog posts.
  ☆19Updated last year
• DanielhCarranza / causai
  Causai is a Python package for Causality in Machine Learning. We provide state-of-the-art causal algorithms and ML into decision-making s…
  ☆13Updated 4 years ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆116Updated 2 years ago
• juanitorduz / website_projects
  Repository containing the code of the projects presented in my personal website.
  ☆42Updated last week
• kieshaprem / covid19-agestructureSEIR-wuhan-social-distancing
  Age-structured SEIR model for COVID-19 outbreak in Wuhan, China
  ☆40Updated 5 years ago
• amazon-science / azcausal
  Causal Inference in Python
  ☆43Updated 3 months ago
• epidemics / COVIDNPIs
  Data and code for COVID-19 NPI effectiveness estimation.
  ☆30Updated 4 years ago
• silpara / simulators
  Simulators for Compartmental Models in Epidemiology
  ☆39Updated 4 years ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆24Updated last week
• dsheldon / covid
  Bayesian modeling of COVID-19
  ☆31Updated 2 years ago