Alternatives and similar repositories for JaynesProbabilityTheory:

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

• aterenin / phdthesis
  Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
  ☆198Updated 3 years ago
• fehiepsi / rethinking-numpyro
  Statistical Rethinking (2nd ed.) with NumPyro
  ☆457Updated last week
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆75Updated this week
• probabilisticai / nordic-probai-2024
  Materials of the Nordic Probabilistic AI School 2024.
  ☆64Updated 10 months ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆72Updated 9 months ago
• rlouf / mcx
  Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.
  ☆330Updated last year
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆199Updated last week
• jhuggins / viabel
  Efficient, lightweight variational inference and approximation bounds
  ☆43Updated last year
• danielkunin / Regularized-Linear-Autoencoders
  Loss Landscapes of Regularized Linear Autoencoders
  ☆144Updated 2 years ago
• probml / sts-jax
  Structural Time Series in JAX
  ☆190Updated last year
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆202Updated last year
• f-dangel / curvlinops
  PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
  ☆38Updated 3 weeks ago
• patrickmineault / ml-theory-reading-list
  An annotated reference list of ML theory
  ☆34Updated last year
• geraschenko / gmrfs
  Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)
  ☆21Updated last year
• wesselb / lab
  A generic interface for linear algebra backends
  ☆73Updated 2 months ago
• oxcsml / ML_bazaar
  OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.
  ☆93Updated 3 years ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆213Updated last week
• PGM-Lab / 2022-ProbAI
  ☆20Updated 2 years ago
• pierrejacob / couplingsmontecarlo
  some scripts for the couplings enthusiasts!
  ☆32Updated 4 years ago
• elizavetasemenova / prob-epi
  Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
  ☆64Updated 2 months ago
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆355Updated 3 weeks ago
• gpschool / gpss20
  Gaussian Process and Uncertainty Quantification Summer School 2020
  ☆33Updated 2 years ago
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆178Updated 2 years ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆103Updated last year
• trevorcampbell / bayesian-coresets
  Automated Scalable Bayesian Inference
  ☆131Updated 3 years ago
• baumgach / tue-slurm-helloworld
  Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container
  ☆33Updated 2 years ago
• jax-ml / oryx
  Oryx is a library for probabilistic programming and deep learning built on top of Jax.
  ☆257Updated this week
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆30Updated 2 years ago
• fehiepsi / rethinking-pyro
  Statistical Rethinking with PyTorch and Pyro
  ☆163Updated last week
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆83Updated last year