langevin-dynamics topic
Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
langevitour
Langevin dynamics based tours of data, in Javascript with R wrapper.
langevin-dynamics-and-score-matching
A demo shows how to combine Langevin dynamics with score matching for generative models.
snips_torch
[NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically
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...
generative-modeling-explained
Ying Nian Wu's UCLA Statistical Machine Learning Tutorial on generative modeling.
ThermodynamicAnalyticsToolkit
Sampling-based approach to analyse neural networks using TensorFlow
Brownian-dynamics-in-a-time-varying-force-field
A python code to calculate the Brownian motion of colloidal particles in a time varying force field.