svgd | Topic | Ecosyste.ms: Repos

Topic: "svgd"

Stochastic Multiple Target Sampling Gradient Descent (NeurIPS 2022)

Language: Python - Size: 254 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 0

Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning

Language: Python - Size: 11.8 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 1

Samplers from the paper "Stochastic Gradient MCMC with Repulsive Forces"

Language: Jupyter Notebook - Size: 113 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 9 - Forks: 0

TensorFlow Implementation of Stein Variational Gradient Descent (SVGD)

Language: Python - Size: 721 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 7 - Forks: 1

Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"

Language: Jupyter Notebook - Size: 2.65 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

An implementation of SVGD in PyTorch

Language: Jupyter Notebook - Size: 378 KB - Last synced at: 9 months ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

Code for reimplementing "Stein Variational Gradient Descent (SVGD)" method.

Language: Python - Size: 2.29 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

Accelerated Stein Variational Gradient Descent for sampling for densities

Language: Python - Size: 3.25 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0