Alternatives and similar repositories for conformal_bayes

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

• MLGlobalHealth / pi-vae
  Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space
  ☆14Updated 2 years ago
• AaltoPML / spatiotemporal-graph-kernels
  The official implementation of Non-separable Spatio-temporal Graph Kernels via SPDEs.
  ☆16Updated 3 years ago
• rizbicki / predictionBands
  R package to compute distribution-free prediction bands using density estimators
  ☆11Updated 4 years ago
• elizavetasemenova / prob-epi
  Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
  ☆68Updated 6 months ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• ryantibs / quantgen
  Tools for generalized quantile modeling
  ☆15Updated 2 years ago
• jtimonen / odemodeling
  R-package for building and fitting Bayesian ODE models in Stan
  ☆29Updated last year
• msesia / conditional-conformal-pvalues
  Conditional calibration of conformal p-values for outlier detection.
  ☆36Updated 2 years ago
• CausalInference / pygformula
  The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…
  ☆30Updated this week
• akira-endo / Intro-PMCMC
  Endo A. et al., "Introduction to the particle Markov-chain Monte Carlo." Epidemics, 2019.
  ☆12Updated 3 years ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆48Updated last year
• anishazaveri / austen_plots
  Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".
  ☆26Updated 3 years ago
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆33Updated 2 years ago
• onnela-lab / gptools
  Gaussian processes on graphs and lattices in Stan.
  ☆18Updated 6 months ago
• elizavetasemenova / PriorVAE
  Code of PriorVAE: encoding spatial priors with variational autoencoders
  ☆12Updated 2 years ago
• annennenne / causalDisco
  Tools for causal discovery in R
  ☆19Updated 6 months ago
• jjcherian / fairaudit
  Statistical inference for fairness auditing
  ☆13Updated 2 years ago
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆18Updated 2 weeks ago
• gabriuma / basis_functions_approach_to_GP
  ☆56Updated 3 years ago
• rgiordan / StanSensitivity
  Tools for automatically generating local sensitivity measures in Stan.
  ☆36Updated 4 years ago
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆30Updated 3 years ago
• santikka / causaleffect
  causaleffect: R package for identifying causal effects.
  ☆34Updated 2 years ago
• chris-nemeth / sgmcmc-review-paper
  The code in this repository follows the paper "Stochastic gradient MCMC"
  ☆26Updated 6 years ago
• jtimonen / lgpr
  R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…
  ☆25Updated 2 weeks ago
• omaclaren / open-learning-material
  Some teaching material and other educational resources
  ☆41Updated 3 weeks ago
• amazon-science / quantile-aggregation
  Code for Flexible Model Aggregation for Quantile Regression
  ☆17Updated 3 years ago
• alexluedtke12 / pydimple
  ☆21Updated last year
• theodds / SoftBART
  ☆32Updated 4 months ago
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆45Updated 2 years ago
• lee-group-cmu / RFCDE
  Random Forests for Conditional Density Estimation
  ☆42Updated 4 years ago