6 results found Sort:

aleximmer
Laplace aleximmer
71
457
mit
9
Laplace approximations for Deep Learning.
deep-learning neural-network laplace-approximation approximate-bayesian-inference
Created 2021-03-12
837 commits to main branch, last one 15 days ago
AaltoML
BayesNewton AaltoML
27
220
apache-2.0
11
Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
jax markov-gps sparse-gps machine-learning signal-processing gaussian-processes state-space-models approximate-bayesian-inference
Created 2021-03-19
119 commits to main branch, last one 9 months ago
ICB-DCM
pyABC ICB-DCM
44
204
bsd-3-clause
6
distributed, likelihood-free inference
abc parameter-inference likelihood-free-inference approximate-bayesian-inference
Created 2017-07-12
1,508 commits to main branch, last one 10 months ago
AaltoML
kalman-jax AaltoML
13
94
apache-2.0
11
Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
kalman-smoother machine-learning signal-processing gaussian-processes state-space-models approximate-bayesian-inference
Created 2020-04-03
306 commits to master branch, last one 2 years ago
mingzhang-yin
SIVI mingzhang-yin
14
52
mit
5
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).
mcmc implicit-flow implicit-modeling variational-inference variational-autoencoder uncertainty-quantification approximate-bayesian-inference
Created 2018-05-26
78 commits to master branch, last one 3 months ago
phuijse
BLNNbook phuijse
7
50
unlicense
3
Bayesian Learning and Neural Networks (jupyter book sources)
numpyro pytorch deep-learning bayesian-models neural-networks approximate-bayesian-inference
Created 2019-07-19
191 commits to main branch, last one about a year ago