GitHub topics: svgd
mokeddembillel/Amortized-SVGD-GAN
Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning
Language: Python - Size: 11.8 MB - Last synced at: 19 days ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 1
birajpandey/SVGD-reimplementation
Code for reimplementing "Stein Variational Gradient Descent (SVGD)" method.
Language: Python - Size: 2.29 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
Feuermagier/Beyond_Deep_Ensembles
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
vicgalle/sgmcmc-force
Samplers from the paper "Stochastic Gradient MCMC with Repulsive Forces"
Language: Jupyter Notebook - Size: 113 KB - Last synced at: 12 months ago - Pushed at: about 5 years ago - Stars: 9 - Forks: 0
jiajunhe98/Stein-Variational-Gradient-Descent-PyTorch
An implementation of SVGD in PyTorch
Language: Jupyter Notebook - Size: 378 KB - Last synced at: 8 months ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0
wsjeon/SVGD
TensorFlow Implementation of Stein Variational Gradient Descent (SVGD)
Language: Python - Size: 721 KB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 7 - Forks: 1
VietHoang1512/MT-SGD
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
