Python and MATLAB code for Stein Variational sampling methods
☆28May 25, 2019Updated 7 years ago
Alternatives and similar repositories for Stein-variational-samplers
Users that are interested in Stein-variational-samplers are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- MATLAB code for Stein Point Markov Chain Monte Carlo.☆14Jul 3, 2019Updated 7 years ago
- Code for the paper 'Neural Variational Gradient Descent'. We perform nonparametric variational inference by transporting samples along a …☆12Jul 29, 2021Updated 5 years ago
- projected Stein variational gradient descent☆12Oct 2, 2021Updated 4 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆19Jan 2, 2021Updated 5 years ago
- Natural Gradient, Variational Inference☆29Jan 13, 2020Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆19Oct 13, 2025Updated 10 months ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Nov 29, 2022Updated 3 years ago
- Evaluating variational inference using Pareto-smoothed importance sampling and simulation-based calibration☆12Jun 8, 2018Updated 8 years ago
- The code for Meta Learning for SGMCMC☆25Feb 21, 2019Updated 7 years ago
- An integrated demo: Gaussian processes for PDEs and inverse problems☆16Jul 17, 2025Updated last year
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Nov 17, 2019Updated 6 years ago
- Codes for "Understanding MCMC Dynamics as Flows on the Wasserstein Space" (ICML-19)☆12Nov 17, 2019Updated 6 years ago
- Codes for Hilbert space reduced-rank GP regression☆15Jul 30, 2019Updated 7 years ago
- Differential-Independence Mixture Ensemble (DIME) MCMC sampling for Julia☆21Apr 27, 2026Updated 4 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- This Matlab package solves the sparsity-constrained optimization problems including compressive sensing, logistic regression, linear com…☆10Dec 19, 2024Updated last year
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆34May 11, 2023Updated 3 years ago
- Paper repository for "Double Robust Two-Way Fixed Effect Regression for Panel Data"☆10Mar 4, 2024Updated 2 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Jul 10, 2018Updated 8 years ago
- LVAE: Ladder Variational Auto-Encoders (NIPS 2016) with TensorFlow.☆16Dec 5, 2017Updated 8 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆16Jul 9, 2018Updated 8 years ago
- Robust bayesian online changepoint detection with model selection☆24Dec 1, 2018Updated 7 years ago
- An implementation of Adams & MacKay 2007 "Bayesian Online Changepoint Detection"☆32Jul 28, 2014Updated 12 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆423Mar 21, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Interface to https://refractiveindex.info/☆16Jun 10, 2026Updated 3 months ago
- Simple Tensorflow tutorials for learning by example☆19Aug 4, 2022Updated 4 years ago
- Variational Inference by Policy Search☆13Apr 24, 2019Updated 7 years ago
- Infinite mixtures of Infinite Gaussian Mixtures : Two layer non-parametric clustering algorithm for continuous data. FastMat is required …☆13Jan 8, 2020Updated 6 years ago
- An optimization algorithm inspired from bubble-net foraging of humpback whales.☆17Sep 5, 2020Updated 6 years ago
- ☆13Dec 19, 2023Updated 2 years ago
- This repository collects recent NAS based methods and provide a summary (Paper and Code) by year and task. We hope this repo can help yo…☆14Oct 6, 2022Updated 3 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆24Apr 20, 2019Updated 7 years ago
- Group project "Algorithms for large-scale optimal transport". Implement ADMMs and Sinkhorn's Algorithms.☆11Jan 28, 2019Updated 7 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Code for "Function Space Particle Optimization for Bayesian Neural Networks"☆18Oct 26, 2022Updated 3 years ago
- Fourier-MIONet: Fourier-enhanced multiple-input neural operators for multiphase modeling of geological carbon sequestration☆19Sep 7, 2024Updated 2 years ago
- a TensorFlow extension of GemPy.☆13Sep 7, 2023Updated 3 years ago
- Code and data for "Upscaling and downscaling Monte Carlo ensembles with generative models" (Scheiter et al., GJI, 2022)☆14Jul 20, 2023Updated 3 years ago
- Time Alignment Measurement for Time Series☆30Jul 6, 2022Updated 4 years ago
- The collection of recent papers about variational inference☆85Nov 6, 2019Updated 6 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆30May 30, 2019Updated 7 years ago