code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
☆103Apr 3, 2019Updated 7 years ago
Alternatives and similar repositories for Stein-Variational-Gradient-Descent
Users that are interested in Stein-Variational-Gradient-Descent are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for "Function Space Particle Optimization for Bayesian Neural Networks"☆18Oct 26, 2022Updated 3 years ago
- Code for the paper 'Neural Variational Gradient Descent'. We perform nonparametric variational inference by transporting samples along a …☆12Jul 29, 2021Updated 4 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆422Mar 21, 2024Updated 2 years ago
- Python code for SGMCMC for Time Series SSMs☆15Apr 21, 2021Updated 5 years ago
- Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch☆23Jan 14, 2020Updated 6 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Code for Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent☆10Nov 19, 2020Updated 5 years ago
- Code release for the ICLR paper☆21Jun 13, 2018Updated 7 years ago
- Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods☆13Nov 29, 2017Updated 8 years ago
- SVGD implementation☆12Jul 23, 2018Updated 7 years ago
- Experiments of amortized stein variational gradient☆16Apr 30, 2017Updated 8 years ago
- projected Stein variational gradient descent☆12Oct 2, 2021Updated 4 years ago
- This is the code repository for the DuSt-MPC paper, published at Robotics: Science and Systems (RSS) 2021.☆31Jul 16, 2021Updated 4 years ago
- Group project "Algorithms for large-scale optimal transport". Implement ADMMs and Sinkhorn's Algorithms.☆11Jan 28, 2019Updated 7 years ago
- ☆15Dec 7, 2021Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Nonlinear SVGD for Learning Diversified Mixture Models☆13Jan 23, 2019Updated 7 years ago
- Variational inference in Dirichlet process Gaussian mixture model (tensorflow implementation)☆13Oct 8, 2018Updated 7 years ago
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Nov 17, 2019Updated 6 years ago
- PyTorch implementation of Stein Variational Gradient Descent☆48Jun 16, 2023Updated 2 years ago
- A PyTorch implementation of SVGD (Stein Variational Gradient Descent), contains all examples including bayesian inference in the paper☆12Jul 30, 2020Updated 5 years ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Nov 22, 2022Updated 3 years ago
- ☆157Sep 15, 2022Updated 3 years ago
- Scalable Bayes via Barycenter in Wasserstein Space☆10Sep 7, 2017Updated 8 years ago
- ☆16Oct 1, 2018Updated 7 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Python and MATLAB code for Stein Variational sampling methods☆28May 25, 2019Updated 6 years ago
- Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent☆30Feb 5, 2024Updated 2 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆34May 11, 2023Updated 2 years ago
- Automated Scalable Bayesian Inference☆132Jan 16, 2022Updated 4 years ago
- Jax SSM Library☆48Nov 24, 2022Updated 3 years ago
- This repository represents a basic implementation of the paper "Riemannian Geometry of Deep Generative Models", along with the results on…☆12Oct 23, 2019Updated 6 years ago
- Student materials for Stats/Datasci 507, Fall 2021.☆10Dec 10, 2021Updated 4 years ago
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Oct 1, 2018Updated 7 years ago
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆152Jan 7, 2020Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆20Apr 17, 2024Updated 2 years ago
- Tutorial on normalizing flows.☆298Jan 17, 2018Updated 8 years ago
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆93Oct 28, 2020Updated 5 years ago
- An Iterated Function System in Python☆29Jul 14, 2014Updated 11 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Oct 23, 2023Updated 2 years ago
- Code for Bayesian inference for queueing networks with incomplete data☆12Jul 5, 2017Updated 8 years ago
- Scaled MMD GAN☆36Oct 30, 2019Updated 6 years ago