Topic: "approximate-bayesian-inference"
aleximmer/Laplace
Laplace approximations for Deep Learning.
Language: Python - Size: 46.3 MB - Last synced at: 11 days ago - Pushed at: 3 months ago - Stars: 512 - Forks: 79
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 at: about 1 month ago - Pushed at: over 1 year ago - Stars: 233 - Forks: 30
ICB-DCM/pyABC
distributed, likelihood-free inference
Language: Python - Size: 46.5 MB - Last synced at: 6 days ago - Pushed at: 17 days ago - Stars: 216 - Forks: 45
AaltoML/kalman-jax
Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
Language: Jupyter Notebook - Size: 17.8 MB - Last synced at: 7 months ago - Pushed at: about 2 years ago - Stars: 96 - Forks: 13
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).
Language: MATLAB - Size: 740 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 53 - Forks: 14
phuijse/BLNNbook
Bayesian Learning and Neural Networks (jupyter book sources)
Language: Jupyter Notebook - Size: 47.3 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 53 - Forks: 8
WilliamYi96/Variational-Inference
Generative Models
Size: 63.1 MB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 13 - Forks: 2
JuliaApproxInference/LikelihoodfreeInference.jl
Likelihood-Free Inference for Julia.
Language: Julia - Size: 11.2 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 0
Eawag-SIAM/SimulatedAnnealingABC.jl
Approximate Bayesian Computation algorithm based on simulated annealing
Language: Julia - Size: 3.52 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 2 - Forks: 0
