ludwigwinkler / pytorch_MCMCLinks
Lightweight MCMC sampling for PyTorch Models aka My Corona Project
☆49Updated last month
Alternatives and similar repositories for pytorch_MCMC
Users that are interested in pytorch_MCMC are comparing it to the libraries listed below
Sorting:
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- Stochastic Normalizing Flows☆78Updated 3 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆73Updated 4 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆22Updated last year
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆35Updated 3 years ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆115Updated 6 months ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆19Updated 5 years ago
- Code for Gaussian Score Matching Variational Inference☆35Updated 7 months ago
- Normalizing Flows using JAX☆84Updated last year
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆40Updated 2 years ago
- Algorithms for computations on random manifolds made easier☆93Updated last year
- Tutorial materials of the Probabilistic Numerics Spring School.☆35Updated 2 years ago
- Riemannian Optimization Using JAX☆52Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated last year
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆458Updated last year
- ☆154Updated 3 years ago
- Simulation-based inference benchmark☆102Updated 8 months ago
- ☆51Updated 2 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 3 months ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Library for normalizing flows and neural flows.☆25Updated 3 years ago
- Matrix-free linear algebra in JAX.☆141Updated last week
- Bayesian Neural Network Surrogates for Bayesian Optimization☆61Updated last year
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- Manifold-learning flows (ℳ-flows)☆230Updated 4 years ago
- Nonparametric Differential Equation Modeling☆54Updated last year
- A framework for composing Neural Processes in Python☆85Updated 9 months ago