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