6 results found Sort:

Laplace approximations for Deep Learning.
Created 2021-03-12
894 commits to main branch, last one 15 days ago
28
232
apache-2.0
10
Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
Created 2021-03-19
119 commits to main branch, last one about a year ago
44
208
bsd-3-clause
6
distributed, likelihood-free inference
Created 2017-07-12
1,547 commits to main branch, last one 3 months ago
13
98
apache-2.0
11
Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
Created 2020-04-03
306 commits to master branch, last one 3 years ago
7
54
unlicense
2
Bayesian Learning and Neural Networks (jupyter book sources)
Created 2019-07-19
191 commits to main branch, last one about a year ago
A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural networks and hierarchical distribution (ICML 2018).
Created 2018-05-26
79 commits to master branch, last one 4 months ago