310 Open source projects that are alternatives of or similar to Autoppl

A collection of Bayesian data analysis recipes using PyMC3

rstanarm R package for Bayesian applied regression modeling

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.

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

A high-level Bayesian analysis API written in Python

How to do Bayesian statistical modelling using numpy and PyMC3

Bayesian spatial analysis

shinystan R package and ShinyStan GUI

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

Simultaneous Localization and Mapping(SLAM) also gives you a way to track the location of a robot in the world in real-time and identify the locations of landmarks such as buildings, trees, rocks, and other world features.

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

A python module to detect stellar flares using Bayesian model comparison

ELFI - Engine for Likelihood-Free Inference

Blang's software development kit

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

A Python package for building Bayesian models with TensorFlow or PyTorch

ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.

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

Bayesian Data Analysis demos for R

Statistical Rethinking with PyTorch and Pyro

Deep universal probabilistic programming with Python and PyTorch

Bayesian Data Analysis demos for Python

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

Separating Normalizing Flows code from Pyro and improving API

Statistical Rethinking course in pymc3

RStan, the R interface to Stan

Collection of probabilistic models and inference algorithms

Transformations to contrained variables from ℝⁿ.

Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.

PyMC3 educational resources

Probabilistic programming via source rewriting

High-performance Bayesian Data Analysis on the GPU in Clojure

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

🎓 Uni-Bonn Decision Analysis graduate course, lectures and materials

A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.

A Bayesian Analysis Toolkit in Julia

Projection predictive variable selection

GPstuff - Gaussian process models for Bayesian analysis

Bayesian inference with probabilistic programming.

Expressions and dataframes with statistical details 📉 📜🔣✅

Statistical Rethinking (2nd Ed) with Tensorflow Probability

Material for a Bayesian statistics workshop

Forecasting 🇫🇷 elections with Bayesian statistics 🥳

Full Bayesian Inference for Hidden Markov Models

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

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

The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control

Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop

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

Bayesian Changepoint Detection

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

ggplot2 extension for plotting distributions

The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.

Self-contained Machine Learning and Natural Language Processing library in Go

A resource list for causality in statistics, data science and physics

Forward Mode Automatic Differentiation for Julia

A Programming Language for Deep Learning

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives

High-performance automatic differentiation of LLVM.