There are 23 repositories under bayesian-inference topic.
Machine learning, in numpy
Deep universal probabilistic programming with Python and PyTorch
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
Fast and Easy Infinite Neural Networks in Python
Bayesian inference with probabilistic programming.
A Python library that helps data scientists to infer causation rather than observing correlation.
PyMC educational resources
Infer.NET is a framework for running Bayesian inference in graphical models
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
solution of exercises of the book "probabilistic robotics"
Bayesian Data Analysis demos for Python
RStan, the R interface to Stan
Resources to learn more about Machine Learning and Artificial Intelligence
BAyesian Model-Building Interface (Bambi) in Python.
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
Awesome resources on normalizing flows.
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
How to do Bayesian statistical modelling using numpy and PyMC3
A collection of Bayesian data analysis recipes using PyMC3
Bayesian Data Analysis demos for R
Variational autoencoders for collaborative filtering
Probabilistic programming via source rewriting
The bookdown version lives here: https://bookdown.org/content/3890
High-performance Bayesian Data Analysis on the GPU in Clojure
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
BlackJAX is a sampling library designed for ease of use, speed and modularity.
"Distributions" that might not add to one.
rstanarm R package for Bayesian applied regression modeling
Probabilistic Programming with Gaussian processes in Julia
Simulation-based inference toolkit
Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.