approximate-bayesian-inference
There are 9 repositories under approximate-bayesian-inference topic.
aleximmer/Laplace
Laplace approximations for Deep Learning.
AaltoML/BayesNewton
Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
ICB-DCM/pyABC
distributed, likelihood-free inference
AaltoML/kalman-jax
Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
mingzhang-yin/SIVI
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).
phuijse/BLNNbook
Bayesian Learning and Neural Networks (jupyter book sources)
WilliamYi96/Variational-Inference
Generative Models
JuliaApproxInference/LikelihoodfreeInference.jl
Likelihood-Free Inference for Julia.
Eawag-SIAM/SimulatedAnnealingABC.jl
Approximate Bayesian Computation algorithm based on simulated annealing