266 Open source projects that are alternatives of or similar to Pyro

A collection of Methods and Models for various architectures of Artificial Neural Networks

Collection of probabilistic models and inference algorithms

GPstuff - Gaussian process models for Bayesian analysis

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC

A high-level Bayesian analysis API written in Python

A Latent Dirichlet Allocation implementation in Python.

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

C++ template library for probabilistic programming

Modular Probabilistic Programming on MXNet

A collection of Bayesian data analysis recipes using PyMC3

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Projection predictive variable selection

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

A common framework for implementing and using log densities for inference.

Seminars DeepBayes Summer School 2018

Full Bayesian Inference for Hidden Markov Models

How to do Bayesian statistical modelling using numpy and PyMC3

shinystan R package and ShinyStan GUI

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.

Efficient, lightweight variational inference and approximation bounds

Statistical Rethinking course in pymc3

Bayesian spatial analysis

Julia package for automatic Bayesian inference on a factor graph with reactive message passing

Multi-core BUGS for fast Bayesian inference of large hierarchical models

ELFI - Engine for Likelihood-Free Inference

rstanarm R package for Bayesian applied regression modeling

Examples for Bayesian inference using DynamicHMC.jl and related packages.

Natural Gradient, Variational Inference

Scalable inference for a generative model of astronomical images

Statistical Rethinking (2nd Ed) with Tensorflow Probability

High-performance Bayesian Data Analysis on the GPU in Clojure

Bayesian Data Analysis demos for R

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

CmdStanR: the R interface to CmdStan

Bayesian Data Analysis demos for Python

Variational autoencoders for collaborative filtering

A python library for Bayesian time series modeling

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

Boltzmann Machines in TensorFlow with examples

The bookdown version lives here: https://bookdown.org/content/3890

📜 🎉 Automated reporting of objects in R

Resources to learn more about Machine Learning and Artificial Intelligence

👻 Utilities for analyzing Bayesian models and posterior distributions

RStan, the R interface to Stan

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

solution of exercises of the book "probabilistic robotics"

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

Bayesian Changepoint Detection

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

bayesplot R package for plotting Bayesian models

Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

nway -- Bayesian cross-matching of astronomical catalogues

Automatic Reparameterisation of Probabilistic Programs

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

Gauss Naive Bayes in Python From Scratch.

ggplot2 extension for plotting distributions