Ecosyste.ms: Repos

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GitHub topics: approximate-bayesian-inference

Eawag-SIAM/SimulatedAnnealingABC.jl

Approximate Bayesian Computation algorithm based on simulated annealing

Language: Julia - Size: 1 MB - Last synced: 13 days ago - Pushed: 15 days ago - Stars: 0 - Forks: 0

aleximmer/Laplace

Laplace approximations for Deep Learning.

Language: Python - Size: 1.72 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 404 - Forks: 57

phuijse/BLNNbook

Bayesian Learning and Neural Networks (jupyter book sources)

Language: Jupyter Notebook - Size: 47.3 MB - Last synced: 27 days ago - Pushed: about 1 year ago - Stars: 49 - Forks: 7

ICB-DCM/pyABC

distributed, likelihood-free inference

Language: Python - Size: 46.4 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 195 - Forks: 42

AaltoML/BayesNewton

Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.

Language: Python - Size: 1.34 MB - Last synced: about 2 months ago - Pushed: 5 months ago - Stars: 207 - Forks: 25

AaltoML/kalman-jax

Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX

Language: Jupyter Notebook - Size: 17.8 MB - Last synced: 4 months ago - Pushed: 10 months ago - Stars: 89 - Forks: 13

JuliaApproxInference/LikelihoodfreeInference.jl

Likelihood-Free Inference for Julia.

Language: Julia - Size: 11.2 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 5 - Forks: 0

WilliamYi96/Variational-Inference

Generative Models

Size: 63.1 MB - Last synced: about 1 year ago - Pushed: about 6 years ago - Stars: 13 - Forks: 2

mingzhang-yin/SIVI

Using neural network to build expressive hierarchical distribution; A variational method to accurately estimate posterior uncertainty; A fast and general method for Bayesian inference. (ICML 2018)

Language: MATLAB - Size: 744 KB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 49 - Forks: 13