fzaiser / nonparametric-hmcLinks
Implementation of Nonparametric Hamiltonian Monte Carlo
☆12Updated 2 years ago
Alternatives and similar repositories for nonparametric-hmc
Users that are interested in nonparametric-hmc are comparing it to the libraries listed below
Sorting:
- ☆15Updated 2 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 3 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆11Updated 10 months ago
- Extensible Tensorflow library for differentiable particle filtering. ICML 2021.☆42Updated 2 years ago
- ☆53Updated 2 years ago
- Efficient, lightweight variational inference and approximation bounds☆43Updated last year
- Random feature latent variable models in Python☆23Updated 2 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆20Updated 3 years ago
- This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.☆33Updated last year
- Bayesian model reduction for probabilistic machine learning☆11Updated last month
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆40Updated 4 years ago
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Updated 5 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Python implementation of smooth optimal transport.☆60Updated 4 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- "Variational inference tools to leverage estimator sensitivity."☆16Updated 2 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- The Python PSDD Package☆19Updated last month
- Pytorch code for Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC☆11Updated 4 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 7 years ago
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Updated 2 years ago
- A community repository for benchmarking Bayesian methods☆11Updated 2 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Inference Combinators in JAX☆49Updated 3 months ago
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆65Updated 10 months ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆49Updated last year
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- Library for Bayesian Quadrature☆32Updated 6 years ago