Alternatives and similar repositories for ramsey:

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

• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆73Updated this week
• JiaYaobo / fenbux
  A Simple Statistical Distribution Library in JAX
  ☆16Updated last year
• wesselb / mlkernels
  Kernels, the machine learning ones
  ☆14Updated 2 years ago
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆40Updated 5 months ago
• darrenjw / logreg
  Bayesian inference for a logistic regression model in various languages
  ☆42Updated last year
• NeilGirdhar / efax
  Exponential families for JAX
  ☆64Updated this week
• probml / JSL
  Jax SSM Library
  ☆49Updated 2 years ago
• vr308 / Generalised-Gaussian-Processes
  Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods
  ☆22Updated last year
• NeilGirdhar / tjax
  Tools for JAX
  ☆45Updated last week
• alexub / jax-meta-learning
  Simple, extensible implementations of some meta-learning algorithms in Jax
  ☆10Updated 4 years ago
• aidanscannell / GPJax
  Minimal Gaussian process library in JAX with a simple (custom) approach to state management.
  ☆11Updated last year
• wesselb / lab
  A generic interface for linear algebra backends
  ☆73Updated last month
• aesara-devs / aemcmc
  AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
  ☆39Updated last year
• probcomp / GenSMCP3.jl
  Automated SMC with Probabilistic Program Proposals, for the Gen PPL.
  ☆22Updated last year
• SamDuffield / mocat
  All things Monte Carlo, written in JAX.
  ☆30Updated 2 years ago
• ssm-jax / ssm-book
  Interactive textbook on state space models
  ☆12Updated 3 years ago
• aesara-devs / aehmc
  An HMC/NUTS implementation in Aesara
  ☆32Updated last year
• wesselb / varz
  Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX
  ☆23Updated 2 years ago
• geraschenko / gmrfs
  Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)
  ☆20Updated 11 months ago
• sscardapane / hydra-tutorial
  Companion code for a tutorial on using Hydra.
  ☆29Updated 3 years ago
• ExpectationMax / sklearn-jax-kernels
  Composable kernels for scikit-learn implemented in JAX.
  ☆43Updated 4 years ago
• pyro-ppl / sandbox
  Pyro models and misc examples.
  ☆19Updated 3 years ago
• rlouf / aex
  Sampling with Blackjax on Aesara
  ☆11Updated 2 years ago
• QuantEcon / lecture-jax
  Lectures on Quantitative Economics Using JAX
  ☆37Updated last week
• jax-ml / coix
  Inference Combinators in JAX
  ☆47Updated 5 months ago
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆27Updated 6 years ago
• pyro-ppl / pyroed
  Bayesian optimization of discrete sequences
  ☆20Updated 3 years ago
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆49Updated 3 weeks ago
• yuanqing-wang / galax
  Graph Learning with JAX
  ☆14Updated 2 years ago