Alternatives and similar repositories for LTCC-Advanced-Computational-Methods-in-Statistics:

Users that are interested in LTCC-Advanced-Computational-Methods-in-Statistics are comparing it to the libraries listed below

• bob-carpenter / adaptive-hmc
  Self-tuning HMC algorithms and evaluations
  ☆18Updated 5 months ago
• pierrejacob / couplingsmontecarlo
  some scripts for the couplings enthusiasts!
  ☆32Updated 4 years ago
• chris-nemeth / sgmcmc-review-paper
  The code in this repository follows the paper "Stochastic gradient MCMC"
  ☆26Updated 5 years ago
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆72Updated this week
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆59Updated last month
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆204Updated 3 months ago
• probabilistic-numerics / probnum-spring-school
  Tutorial materials of the Probabilistic Numerics Spring School.
  ☆34Updated last year
• danielward27 / flowjax
  ☆152Updated 3 weeks ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆102Updated last year
• probml / sts-jax
  Structural Time Series in JAX
  ☆188Updated 10 months ago
• cliburn / sta-663-2021
  Computational Statistics and Statistical Computing
  ☆37Updated 3 years ago
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆30Updated last year
• gerdm / bayes
  Neat Bayesian machine learning examples
  ☆55Updated 2 months ago
• GaussianProcessesCambridge / meetup-resources
  Collection of resources from each meetup event
  ☆13Updated 4 years ago
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆40Updated 5 months ago
• JTT94 / filterflow
  Extensible Tensorflow library for differentiable particle filtering. ICML 2021.
  ☆42Updated 2 years ago
• jhuggins / viabel
  Efficient, lightweight variational inference and approximation bounds
  ☆43Updated last year
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆44Updated last year
• awllee / SequentialMonteCarlo.jl
  A light interface to serial and multi-threaded Sequential Monte Carlo
  ☆31Updated 3 years ago
• QMCSoftware / QMCSoftware
  ☆66Updated this week
• EEA-sensors / sqrt-parallel-smoothers
  A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…
  ☆12Updated 3 months ago
• udellgroup / orie7391
  Materials and syllabus for Cornell ORIE 7391, Faster: Algorithmic Ideas for Speeding Up Optimization
  ☆23Updated 2 years ago
• stan-dev / posteriordb-python
  ☆21Updated 6 months 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.
  ☆232Updated last year
• alexglyndavies / 4M24
  ☆29Updated 3 years ago
• wesselb / stheno
  Gaussian process modelling in Python
  ☆222Updated 3 months ago
• gpschool / gpss20
  Gaussian Process and Uncertainty Quantification Summer School 2020
  ☆33Updated 2 years ago
• seb-becker / deep_pde
  Source code related to the article "Deep splitting method for parabolic PDEs" by Christian Beck, Sebastian Becker, Patrick Cheridito, Arn…
  ☆14Updated 4 years ago
• compops / pmh-tutorial
  Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
  ☆28Updated 6 years ago
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆29Updated 2 years ago