no-u-turn-sampler

There are 8 repositories under no-u-turn-sampler topic.

  • IdahoLabResearch/BIhNNs

    The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural Networks (DNNs), Neural ODEs, and Symplectic Neural Networks (SympNets) used with state-of-the-art sampling schemes like Hamiltonian Monte Carlo (HMC) and the No-U-Turn-Sampler (NUTS).

    Language:Python10105

  • JohannesBuchner/PinNUTS

    PinNUTS🥜 is dynamic Hamiltonian Monte Carlo algorithm implemented in Python

    Language:Python10431

  • mvidela31/BinaryStars

    An efficient Python implementation for Bayesian inference in binary stars based on Stan.

    Language:Stan5201

  • efmanu/GibbsSampler.jl

    Package to do Bayesian inference with Gibbs sampler

    Language:Julia2210

  • andrejobuljen/JaxPM-Hi-Fi-mocks

    JAX-powered Hi-Fi mocks

    Language:Jupyter Notebook1000

  • knottwill/Bayesian-NUTS

    Bayesian inference using the No-U-Turn sampler.

    Language:Python00

  • manucarl/BCTM

    Bayesian Conditional Transformation Models by Manuel Carlan, Thomas Kneib and Nadja Klein

    Language:R0130

  • shermanlo77/oxwasp_exchange_mcmc

    Java and Processing implementations for visualising various MCMC methods.

    Language:Java0200