betanalpha / mcmc_visualization_tools

Related projects: ⓘ

• bob-carpenter / adaptive-hmc
  Self-tuning HMC algorithms and evaluations
  ☆18Updated 3 weeks ago
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆74Updated this week
• betanalpha / quarto_chapters
  Book Chapter Drafts
  ☆25Updated last week
• hectormz / awesome-bayes
  A curated list of awesome Bayesian statistics blogs and resources
  ☆20Updated 10 months ago
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆41Updated 9 months ago
• jessegrabowski / pymc_statespace
  A system for Bayesian estimation of state space models using PyMC
  ☆33Updated last year
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆48Updated last month
• pymc-devs / pymc-experimental
  ☆75Updated this week
• wd60622 / conjugate
  Bayesian Conjugate Models in Python
  ☆20Updated this week
• bambinos / kulprit
  Kullback-Leibler projections for Bayesian model selection in Python
  ☆30Updated 2 months ago
• avehtari / casestudies
  ☆25Updated 5 months ago
• arviz-devs / preliz
  A tool-box for prior elicitation.
  ☆78Updated this week
• rlouf / aex
  Sampling with Blackjax on Aesara
  ☆11Updated last year
• QuantEcon / lecture-jax
  Lectures on Quantitative Economics Using JAX
  ☆28Updated last month
• elizavetasemenova / prob-epi
  Course materials of "Bayesian Modelling and Probabilistic Programming" with NumPyro, initially created for "AI for Science" MSc at the Af…
  ☆42Updated this week
• mattiasvillani / MLcourse
  Machine Learning, 7.5 credits, a course that I have previously given at Department of Statistics at Stockholm University.
  ☆15Updated 3 months ago
• vacquaviva / Flatiron_MCMC
  This is the material (slides + notebook) used to give the MCMC class in Hogg's Computational Data Analytics class at Flatiron CCA on 3/29…
  ☆10Updated 4 years ago
• tomicapretto / density_estimation
  This repository contains notebooks with different probability density function estimators.
  ☆13Updated 4 years ago
• arviz-devs / Exploratory-Analysis-of-Bayesian-Models
  Educational resources related to ArviZ
  ☆17Updated this week
• hyosubkim / bayes-toolbox
  bayes-toolbox
  ☆93Updated 9 months ago
• martiningram / mcmc_runtime_comparison
  Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis
  ☆29Updated last year
• elanmart / rust-pgbart
  ☆19Updated last year
• michaelnowotny / pyjags
  PyJAGS: The Python Interface to JAGS
  ☆22Updated 2 years ago
• andykitchen / numpyo-examples
  Numpyro examples in Python notebooks
  ☆11Updated 4 years ago
• omaclaren / open-learning-material
  Some teaching material and other educational resources
  ☆39Updated 3 weeks ago
• jtimonen / odemodeling
  R-package for building and fitting Bayesian ODE models in Stan
  ☆25Updated last week
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated 3 months ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆135Updated 3 weeks ago
• mlcolab / sbi-workshop
  SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory
  ☆21Updated last year
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆55Updated last week