Alternatives and similar repositories for post--visual-exploration-gaussian-processes

Users that are interested in post--visual-exploration-gaussian-processes are comparing it to the libraries listed below

• st-- / interactive-gp-visualization
  Interactive visualization of Gaussian processes
  ☆172Updated 2 years ago
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆100Updated 2 years ago
• vicariousinc / PGMax
  Loopy belief propagation for factor graphs on discrete variables, in JAX!
  ☆65Updated last year
• oxcsml / ML_bazaar
  OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.
  ☆93Updated 3 years ago
• distillpub / post--example
  Example Distill article repository—clone, rename, start writing!
  ☆72Updated 2 years ago
• eth-cscs / abcpy
  ABCpy package
  ☆116Updated last year
• probml / JSL
  Jax SSM Library
  ☆49Updated 2 years ago
• RaulPL / awesome-gaussian-processes
  A curated list of resources for learning Gaussian Processes
  ☆41Updated 4 years ago
• AaltoML / BayesNewton
  Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
  ☆237Updated last year
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆72Updated last year
• gpschool / gpss20
  Gaussian Process and Uncertainty Quantification Summer School 2020
  ☆33Updated 2 years ago
• ColCarroll / minimc
  Just a little MCMC
  ☆231Updated last year
• cranmer / stats-ds-book
  http://cranmer.github.io/stats-ds-book
  ☆73Updated 4 years ago
• ColCarroll / imcmc
  Image Markov Chain Monte Carlo
  ☆245Updated 3 years ago
• to-mi / gp-demo-js
  Gaussian process regression demo in Javascript
  ☆36Updated 8 years ago
• dimenwarper / awesome-bayes
  List of resources for bayesian inference
  ☆157Updated 6 years ago
• aterenin / phdthesis
  Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
  ☆199Updated 3 years ago
• rlouf / mcx
  Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.
  ☆330Updated last year
• hanyas / mimo
  A toolbox for inference of mixture models
  ☆16Updated 2 years ago
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆65Updated 6 years ago
• elfi-dev / elfi
  ELFI - Engine for Likelihood-Free Inference
  ☆277Updated 5 months ago
• PGM-Lab / InferPy
  InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
  ☆149Updated last year
• matt-graham / mici
  Manifold Markov chain Monte Carlo methods in Python
  ☆233Updated 3 weeks ago
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆93Updated 6 years ago
• robertness / pyro_agents
  Agent models implemented with Pyro
  ☆11Updated 2 years ago
• montefiore-institute / hypothesis
  A Python toolkit for (simulation-based) inference and the mechanization of science.
  ☆53Updated 3 years ago
• fehiepsi / rethinking-pyro
  Statistical Rethinking with PyTorch and Pyro
  ☆164Updated 5 months ago
• openopt / copt
  A Python library for mathematical optimization
  ☆141Updated last year
• pierreablin / autoptim
  Automatic differentiation + optimization
  ☆102Updated 6 years ago
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆191Updated 2 months ago