ludwigwinkler / pytorch_MCMC
Lightweight MCMC sampling for PyTorch Models aka My Corona Project
☆44Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for pytorch_MCMC
- Code for efficiently sampling functions from GP(flow) posteriors☆65Updated 3 years ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated last year
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆88Updated 6 months ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆23Updated last year
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆93Updated 2 months ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 2 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆55Updated 3 years ago
- Stochastic Normalizing Flows☆73Updated 2 years ago
- Normalizing Flows with a resampled base distribution☆44Updated 2 years ago
- Normalizing Flows using JAX☆82Updated 11 months ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆95Updated last year
- Simple (and cheap!) neural network uncertainty estimation☆52Updated last month
- Matrix-free linear algebra in JAX.☆101Updated last month
- ☆145Updated 2 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Bayesian active learning with EPIG data acquisition☆25Updated 5 months ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆37Updated last year
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆29Updated 2 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆47Updated 6 months ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆18Updated 5 years ago
- Regression datasets from the UCI repository with standardized test-train splits.☆36Updated 2 years ago
- A library for uncertainty quantification based on PyTorch☆119Updated 2 years ago
- Algorithms for computations on random manifolds made easier☆85Updated 11 months ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆19Updated 4 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆17Updated 2 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆31Updated 2 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 4 years ago
- Implementation of Action Matching☆36Updated last year
- Code for Gaussian Score Matching Variational Inference☆27Updated 3 weeks ago
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆21Updated 6 months ago