GitHub topics: sgld
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Language: Jupyter Notebook - Size: 15.6 MB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 1,893 - Forks: 309
activatedgeek/torch-sgld
SGLD and cSGLD as a PyTorch Optimizer
Language: Jupyter Notebook - Size: 124 KB - Last synced at: 1 day ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 1
konstantinos-p/Bayesian-Neural-Networks-Reading-List
A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. More details: "A Primer on Bayesian Neural Networks: Review and Debates"
Size: 82 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 29 - Forks: 2
WayneDW/Contour-Stochastic-Gradient-Langevin-Dynamics
An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)
Language: Jupyter Notebook - Size: 113 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 30 - Forks: 9
vicgalle/sgmcmc-force
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
vahidzee/torchde
PyTorch wrapper for Deep Density Estimation Models
Language: Python - Size: 181 KB - Last synced at: 29 days ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 1
ludwigwinkler/pytorch_MCMC
Lightweight MCMC sampling for PyTorch Models aka My Corona Project
Language: Python - Size: 35.3 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 25 - Forks: 5
