Alternatives and similar repositories for JaynesProbabilityTheory

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

• fehiepsi / rethinking-numpyro
  Statistical Rethinking (2nd ed.) with NumPyro
  ☆467Updated 9 months ago
• probabilisticai / nordic-probai-2024
  Materials of the Nordic Probabilistic AI School 2024.
  ☆64Updated last year
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆79Updated this week
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆212Updated last week
• rlouf / mcx
  Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.
  ☆329Updated last year
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆231Updated 3 weeks ago
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆379Updated 2 weeks ago
• aterenin / phdthesis
  Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
  ☆199Updated 3 years ago
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆49Updated 3 weeks ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆74Updated last year
• pierrejacob / couplingsmontecarlo
  some scripts for the couplings enthusiasts!
  ☆32Updated 5 years ago
• betanalpha / quarto_chapters
  Book Chapter Drafts
  ☆37Updated last year
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆46Updated 2 years ago
• jhuggins / viabel
  Efficient, lightweight variational inference and approximation bounds
  ☆47Updated 3 months ago
• probml / sts-jax
  Structural Time Series in JAX
  ☆214Updated last year
• PGM-Lab / 2022-ProbAI
  ☆21Updated 3 years ago
• ColCarroll / minimc
  Just a little MCMC
  ☆235Updated last year
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆90Updated 3 weeks ago
• bob-carpenter / adaptive-hmc
  Self-tuning HMC algorithms and evaluations
  ☆19Updated last year
• ryantibs / statlearn-s23
  Course materials for Advanced Topics in Statistical Learning, Spring 2023
  ☆50Updated 6 months ago
• dustinstansbury / statistical-rethinking-2023
  Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.
  ☆193Updated last year
• elizavetasemenova / prob-epi
  Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
  ☆70Updated 11 months ago
• ecotner / statistical-rethinking
  Following along with Statistical Rethinking text on Bayesian modeling by McElreath
  ☆70Updated 5 years ago
• boazbk / mltheoryseminar
  ☆22Updated last month
• StatProofBook / StatProofBook.github.io
  The Book of Statistical Proofs
  ☆398Updated 2 weeks ago
• jejjohnson / research_journal
  My Research Journal covering various topics that interest me. They're mostly scattered notes and resources.
  ☆35Updated 3 years ago
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆181Updated 3 years ago
• y0ast / slurm-for-ml
  A Machine Learning workflow for Slurm.
  ☆152Updated 5 years ago
• csquires / 6.S091-causality
  ☆194Updated 3 years ago
• asuagar / statrethink-course-numpyro-2019
  Statistical Rethinking: A Bayesian Course Using Python and NumPyro
  ☆91Updated 4 years ago