bayesian-methods topic
edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
probability
Probabilistic reasoning and statistical analysis in TensorFlow
rstanarm
rstanarm R package for Bayesian applied regression modeling
shinystan
shinystan R package and ShinyStan GUI
rethinking-pyro
Statistical Rethinking with PyTorch and Pyro
orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
edward2
A simple probabilistic programming language.
PyEMMA
🚂 Python API for Emma's Markov Model Algorithms 🚂
DynamicHMC.jl
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.