elizavetasemenova / prob-epi

Related projects ⓘ

Alternatives and complementary repositories for prob-epi

• elizavetasemenova / PriorVAE
  Code of PriorVAE: encoding spatial priors with variational autoencoders
  ☆12Updated last year
• geraschenko / gmrfs
  Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)
  ☆19Updated 7 months ago
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆43Updated 11 months ago
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆27Updated last year
• onnela-lab / gptools
  Gaussian processes on graphs and lattices in Stan and pytorch.
  ☆15Updated this week
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆79Updated 2 months ago
• rlouf / aex
  Sampling with Blackjax on Aesara
  ☆11Updated last year
• bob-carpenter / adaptive-hmc
  Self-tuning HMC algorithms and evaluations
  ☆18Updated last month
• betanalpha / quarto_chapters
  Book Chapter Drafts
  ☆27Updated 2 months ago
• gabriuma / basis_functions_approach_to_GP
  ☆54Updated 2 years ago
• flatironinstitute / mcmc-monitor
  Monitor MCMC runs in the browser
  ☆36Updated 9 months ago
• roualdes / bridgestan
  BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.
  ☆95Updated last week
• skdeshpande91 / flexBART
  Towards a more flexible BART
  ☆22Updated 3 months ago
• avehtari / rhat_ess
  Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
  ☆30Updated 3 years ago
• bambinos / kulprit
  Kullback-Leibler projections for Bayesian model selection in Python
  ☆30Updated 4 months ago
• elanmart / rust-pgbart
  ☆19Updated last year
• bob-carpenter / stan-getting-started
  A quarto notebook introducing Stan in Python (and maybe R).
  ☆12Updated last year
• omaclaren / open-learning-material
  Some teaching material and other educational resources
  ☆40Updated last month
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆68Updated this week
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆36Updated 3 weeks ago
• AaltoPML / spatiotemporal-graph-kernels
  The official implementation of Non-separable Spatio-temporal Graph Kernels via SPDEs.
  ☆16Updated 2 years ago
• jtimonen / odemodeling
  R-package for building and fitting Bayesian ODE models in Stan
  ☆25Updated 2 months ago
• bob-carpenter / comp-inference-reading
  Home for the computational inference reading group.
  ☆17Updated 4 years ago
• liesel-devs / liesel
  A probabilistic programming framework
  ☆40Updated 3 weeks ago
• JiaYaobo / fenbux
  A Simple Statistical Distribution Library in JAX
  ☆16Updated 7 months ago
• avehtari / casestudies
  ☆26Updated last month
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆56Updated 2 weeks ago
• LuZhangstat / Pathfinder
  ☆20Updated 2 years ago
• jessegrabowski / pymc_statespace
  A system for Bayesian estimation of state space models using PyMC
  ☆32Updated last year
• hectormz / awesome-bayes
  A curated list of awesome Bayesian statistics blogs and resources
  ☆21Updated last year