Alternatives and similar repositories for adelie

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

• gabriuma / basis_functions_approach_to_GP
  ☆57Updated 3 years ago
• jtimonen / odemodeling
  R-package for building and fitting Bayesian ODE models in Stan
  ☆29Updated last year
• omaclaren / open-learning-material
  Some teaching material and other educational resources
  ☆41Updated 5 months ago
• skdeshpande91 / flexBART
  Towards a more flexible BART
  ☆23Updated 3 weeks ago
• alexluedtke12 / pydimple
  ☆22Updated last year
• jtimonen / lgpr
  R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…
  ☆26Updated 3 months ago
• lihualei71 / cfcausal
  R package cfcausal
  ☆33Updated 3 years ago
• flatironinstitute / mcmc-monitor
  Monitor MCMC runs in the browser
  ☆37Updated last year
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆89Updated 2 weeks ago
• LuZhangstat / Pathfinder
  ☆24Updated 3 years ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆52Updated last year
• MLGlobalHealth / pi-vae
  Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space
  ☆14Updated 2 years ago
• LedgerInvesting / bayesblend
  Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…
  ☆37Updated last month
• Non-Contradiction / autodiffr
  Automatic Differentiation for R
  ☆23Updated 7 years ago
• charlesm93 / stanTutorial
  Files for StanCon 2023 tutorial.
  ☆21Updated last year
• helske / walker
  Bayesian Generalized Linear Models with Time-Varying Coefficients
  ☆45Updated last year
• avehtari / rhat_ess
  Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
  ☆32Updated 4 years ago
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆60Updated 10 months ago
• seantalts / simulation-based-calibration
  Repo for code from the SBC paper
  ☆24Updated 6 years ago
• elizavetasemenova / prob-epi
  Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
  ☆70Updated 11 months ago
• mattiasvillani / BayesianLearningBook
  Home for the book-in-progress 'Bayesian Learning'
  ☆28Updated 3 months ago
• to-mi / stan-survival-shrinkage
  Bayesian linear survival analysis with shrinkage priors in Stan
  ☆25Updated 10 years ago
• onnela-lab / gptools
  Gaussian processes on graphs and lattices in Stan.
  ☆19Updated 10 months ago
• CausalInference / pygformula
  The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…
  ☆31Updated 2 months ago
• rgiordan / StanSensitivity
  Tools for automatically generating local sensitivity measures in Stan.
  ☆36Updated 5 years ago
• CDCgov / PyRenew
  Python package for multi-signal Bayesian renewal modeling with JAX and NumPyro.
  ☆25Updated last week
• elanmart / rust-pgbart
  ☆18Updated 3 years ago
• anastasiospanagiotelis / DimensionReduction
  Short course on dimension reduction for AMSI
  ☆35Updated 3 years ago
• flatironinstitute / stan-playground
  Run Stan models in the browser
  ☆54Updated last week
• bob-carpenter / case-studies
  Case studies in applied and computational statistics.
  ☆39Updated 8 months ago