fzaiser / nonparametric-hmcLinks
Implementation of Nonparametric Hamiltonian Monte Carlo
☆13Updated 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:
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 4 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆11Updated last year
- ☆15Updated 3 years ago
- "Variational inference tools to leverage estimator sensitivity."☆16Updated 2 years ago
- ☆53Updated 2 years ago
- The Python PSDD Package☆19Updated 3 months ago
- Bayesian model reduction for probabilistic machine learning☆11Updated 4 months ago
- Efficient, lightweight variational inference and approximation bounds☆45Updated 3 weeks ago
- Random feature latent variable models in Python☆23Updated 2 years ago
- Modelling epidemiological dynamics and performing inference in these models☆27Updated 4 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆42Updated 5 years ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆50Updated last year
- Extensible Tensorflow library for differentiable particle filtering. ICML 2021.☆42Updated 2 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- Generative Forests in Python☆35Updated 2 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆48Updated 2 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆21Updated 3 years ago
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆22Updated 2 years ago
- Pytorch code for Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC☆11Updated 4 years ago
- A community repository for benchmarking Bayesian methods☆12Updated 2 years ago
- ☆28Updated 7 years ago
- This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.☆33Updated 2 years ago
- Probabilistic programming system for fast and exact symbolic inference☆82Updated last year
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆20Updated 6 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆30Updated last year
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 7 years ago
- Investigate the speed of adaptation of structural causal models☆15Updated 4 years ago