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70 search results found

Deep universal probabilistic programming with Python and PyTorch

Bayesian Modeling in Python

Zhusuan ⭐ 2,139

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

Numpyro ⭐ 1,883

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

Turing.jl ⭐ 1,872

Bayesian inference with probabilistic programming.

Blackjax ⭐ 560

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

Dbda Python ⭐ 543

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

Soss.jl ⭐ 401

Probabilistic programming via source rewriting

Monad Bayes ⭐ 378

A library for probabilistic programming in Haskell.

Measuretheory.jl ⭐ 377

"Distributions" that might not add to one.

Stheno.jl ⭐ 324

Probabilistic Programming with Gaussian processes in Julia

Gaussian processes in JAX.

A domain-specific probabilistic programming language for scalable Bayesian data cleaning

The base NIMBLE package for R

Bayesloop ⭐ 127

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

Diffeqbayes.jl ⭐ 120

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

BOPP: Bayesian Optimization for Probabilistic Programs

Mxfusion ⭐ 93

Modular Probabilistic Programming on MXNet

Pymc Example Project ⭐ 87

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Zigzagboomerang.jl ⭐ 83

Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection

Bayes Toolbox ⭐ 80

Reactivemp.jl ⭐ 73

High-performance reactive message-passing based Bayesian inference engine

Tilde.jl ⭐ 69

WIP successor to Soss.jl

Diffusive Nested Sampling

Pyautofit ⭐ 54

PyAutoFit: Classy Probabilistic Programming

Gaussian Process Model Building Interface

A web interface for exploring PyMC3 traces

causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their output.

Flowtorch Old ⭐ 36

Separating Normalizing Flows code from Pyro and improving API

Flowtorch ⭐ 25

Separating Normalizing Flows code from Pyro and improving API

Library of composable generative population models which serve as the modeling and inference backend of BayesDB.

Blangsdk ⭐ 22

Blang's software development kit

Pymc Stochastic Process ⭐ 22

Demonstrating the benefits of using Bayesian Inference and PYMC3 for estimating the parameters of stochastic processes commonly used in quantitative finance.

Turingbnpbenchmarks ⭐ 22

Benchmarks of Bayesian Nonparametric models in Turing and other PPLs

Pymc3_euss ⭐ 21

Course in Probabilistic Programming in Python for the 2018 EU Summer School

StatSim. Bayesian inference and statistical simulations in the browser

Probabilistic Programming And Bayesian Methods For Hackers ⭐ 17

Clone of book Probabilistic Programming and Bayesian Methods for Hackers by CamDavidsonPilon

Genparticlefilters.jl ⭐ 14

Building blocks for simple and advanced particle filtering in Gen.

Zhusuan Jittor ⭐ 13

Zhusuan with backend Jittor

Sossmlj.jl ⭐ 12

SossMLJ makes it easy to build MLJ machines from user-defined models from the Soss probabilistic programming language

Composablestatespacemodels ⭐ 11

Zhusuan Paddlepaddle ⭐ 8

Zhusuan with backend PaddlePaddle

Probabilistic Programming Packages ⭐ 6

Trying out different probabilistic programming packages on the same statistical model

Stanz is a scala library for purely functional Bayesian analysis.

Bayesian learning and inference with WebPPL.

Turing2montecarlomeasurements.jl ⭐ 5

Interface between Turing.jl and MonteCarloMeasurements.jl

Pymc Advi Hmc Demo ⭐ 5

Demonstrating HMC and ADVI algorithms for Bayesian data analysis using PYMC3.

Bayes For Hackers ⭐ 4

el notebook de Cameron Davidson Pilon que es un cookbook de Bayes para Python

Cmd_stan_rb ⭐ 4

Ruby interface to Stan for Bayesian Inference from Ruby environments

Revbayes_uc_berkeley_2018_workshop ⭐ 3

UC Berkeley 2018 RevBayes Workshop: Phylogenetic graphical models and Bayesian inference

Stan Cmdstanr Docker ⭐ 3

A Docker image to run Stan, cmdstanr, and brms for Bayesian statistical modelling

Numpyro Doing Bayesian ⭐ 3

My implementation of John K. Kruschke's Doing Bayesian Data Analysis 2nd edition using Python and Numpyro.

Probability Bayesian ⭐ 2

Study Notes of Probabilistic Programming and Bayesian Methods for Hackers

Your Probabilistic Modeling Copilot

Dev documentation for Blang

A parameter space sampling class for lightweight Bayesian inference. Running on a NumPy-based implementation of the Metropolis-Hastings algorithm.

R Bayesian ⭐ 2

This is the R Bayesian Data Science Toolkit

Your Probabilistic Modeling Copilot

Book_bayesian_methods ⭐ 1

Code and data examples included in the book "Probabilistic Programming & Bayesian Methods for Hackers" by Cameron Davidson-Pilon.

Probabilistic Programming And Bayesian Methods For Hackers Master ⭐ 1

Stan Cmdstanr Gpu Docker ⭐ 1

A Docker image to run Stan, cmdstanr, and brms for Bayesian statistical modelling. GPU support using OpenCL is available.

Zeroinflatedpoisson Infer.net ⭐ 1

Simple demo of Zero-Inflated Poisson (ZIP) model using Infer.NET framework

Markov Chain Cubature via JAX. Efficient SDE solving and Bayesian inference.

Extremevaluetheory ⭐ 1

A demonstration of performing Extreme Value Theory (EVT) using the Block Maxima method with Bayesian sampling in Julia.

Bayesian Cognitive Modeling With Turing.jl ⭐ 1

Bayesian Cognitive Modeling with Turing.jl (Julia Programming Language)

Randomizedtest ⭐ 1

Demo of Randomized Response model (Infer.NET)

Bayes_for_hackers ⭐ 1

Delimiterfinder ⭐ 1

Python package for probabilistic delimiter detection.

Stan Docker ⭐ 1

A Docker image to run Stan, rstanarm, and brms for Bayesian statistical modelling

Awesome Sciml ⭐ 1

Awesome-spatial-temporal-scientific-machine-learni Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included.

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Python Bayesian Inference (264)

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