langevin-mc

There are 8 repositories under langevin-mc topic.

  • MI2G/sampling-tutorials

    Imaging Inverse Problems and Bayesian Computation - Python tutorials to learn about (accelerated) sampling for uncertainty quantification and other advanced inferences

    Language:Jupyter Notebook7203

  • hmishfaq/LMC-LSVI

    The official code release for Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo, ICLR 2024.

    Language:Python5202

  • fabienpesquerel/MCMC

    Python implementation (from scratch) of some MCMC samplers that can leverage pyTorch's autodifferentiation (with examples).

    Language:Python4200

  • panxulab/LSVI-ASE

    The official code release for "More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling", Reinforcement Learning Conference (RLC) 2024

    Language:Python2101

  • JuliaEpi/MathepiaInference.jl

    Bayesian inference tools. Including state-of-the-art inference methods: HMC family, ABC family, Data assimilation, and so on. Part of Mathepia.jl

    Language:Julia110

  • DanielCortild/GlobalOptimization

    A package to solve global optimization problems in small dimensions. The method is based on sampling algorithms, and specifically implements the high-resolution Langevin algorithm.

    Language:Python00

  • nandahkrishna/RNNReactivation

    Code for "Sufficient conditions for offline reactivation in recurrent neural networks" (ICLR 2024)

    0200

  • SmBito/Hybrid_Monte_Carlo_University_Project_2018

    Comparing the performance of Hybrid MC, Langevin MC and a simple random walk

    Language:Jupyter Notebook0100