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184 search results found

Bayesian Modeling in Python

Numpyro ⭐ 1,887

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

Emcee ⭐ 1,361

The Python ensemble sampling toolkit for affine-invariant MCMC

fastFM: A Library for Factorization Machines

Bda_py_demos ⭐ 851

Bayesian Data Analysis demos for Python

Bayespy ⭐ 666

Bayesian Python: Bayesian inference tools for Python

Scipy2014_tutorial ⭐ 281

Tutorial: Bayesian Statistical Analysis in Python

MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice

Recommend ⭐ 269

recommendation system with python

Data_science_blogs ⭐ 232

A repository to keep track of all the code that I end up writing for my blog posts.

Bayesian optimization for Python

Manifold Markov chain Monte Carlo methods in Python

⚡️ zeus: Lightning Fast MCMC ⚡️

Probabilistic Models ⭐ 196

Collection of probabilistic models and inference algorithms

Openmmtools ⭐ 190

A batteries-included toolkit for the GPU-accelerated OpenMM molecular simulation engine.

Exoplanet ⭐ 187

Fast & scalable MCMC for all your exoplanet needs!

Just a little MCMC

Bayesian estimation supersedes the t test

Normalizing-flow enhanced sampling package for probabilistic inference in Jax

Gerrychain ⭐ 117

Use MCMC to analyze districting plans and gerrymanders

Paramonte ⭐ 112

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

Getdist ⭐ 112

MCMC sample analysis, kernel densities, plotting, and GUI

Polygenic prediction via continuous shrinkage priors

A Bayesian testing framework written in Python.

Pythonmcmc ⭐ 82

A list of Python-based MCMC & ABC packages

Phylowgs ⭐ 78

Application for inferring subclonal composition and evolution from whole-genome sequencing data.

Stochopy ⭐ 74

Python library for stochastic numerical optimization

Geophysical Bayesian Inference in Python. Docs:

VIP is a python package/library for angular, reference star and spectral differential imaging for exoplanet/disk detection through high-contrast imaging.

Starfish ⭐ 60

Tools for Flexible Spectroscopic Inference

Sandia Uncertainty Quantification Toolkit

Pyautofit ⭐ 54

PyAutoFit: Classy Probabilistic Programming

General Toolkit for Modeling Radial Velocity Data

Fitting thermodynamic models with pycalphad - https://doi.org/10.1557/mrc.2019.59

Anesthetic ⭐ 51

Nested Sampling post-processing and plotting

Pymcmcstat ⭐ 49

Python implementation of MATLAB toolbox "mcmcstat"

Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python

MCMC package for Bayesian data analysis

Cross-population polygenic prediction

A Python package for Bayesian A/B Testing

A web interface for exploring PyMC3 traces

Littlemcmc ⭐ 40

A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.

pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation

An alternative to MCMC for rapid analysis of models

Wavelet Flow ⭐ 38

Wavelet Flow: Fast Training of High Resolution Normalizing Flows

AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.

Carma_pack ⭐ 36

MCMC Sampler for Performing Bayesian Inference on Continuous Time Autoregressive Models.

Bayesian Hmm ⭐ 35

A non-parametric Bayesian approach to Hidden Markov Models

A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.

Bayes Skopt ⭐ 32

A fully Bayesian implementation of sequential model-based optimization

Implementation of Stochastic Gradient MCMC algorithms

An HMC/NUTS implementation in Aesara

Derivation of non-thermal particle distributions through MCMC spectral fitting

Python MCMC Sampler

Hydrology ⭐ 28

Using Python for developing hydrological models and remote sensing workflow.

Ptmcmcsampler ⭐ 28

Parallel tempering MCMC sampler package written in Python

Pieces of code that have appeared on my blog with a focus on stochastic simulations.

An interface for Nested Stochastic Block Model for single cell analysis

Agnfitter ⭐ 25

SED-fitting code for AGN and galaxies from a MCMC approach

Inference Tools ⭐ 25

Python tools for Bayesian data analysis

Experimenting with Stan on Spark for distributed MCMC

Pysgmcmc ⭐ 23

Stochastic Gradient MCMC Methods for Tensorflow

Particle Gibbs for Bayesian Additive Regression Trees

Bayhunter ⭐ 23

McMC transdimensional Bayesian inversion of surface wave dispersion and receiver functions

Python_for_bayes ⭐ 23

「Pythonによるベイズ統計学入門」の正誤表とPythonコード

All things Monte Carlo, written in JAX.

PyPGMC: Fast discrete inference submodels for PyMC and PyMC3

Autoreparam ⭐ 20

Automatic Reparameterisation of Probabilistic Programs

Coopnets ⭐ 19

Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching

Autologistic Actor Attribute Model (ALAAM) parameter estimation, simulation, and goodness-of-fit

Neural network nested and MCMC sampling

Tweetopic ⭐ 18

Blazing fast topic modelling for short texts.

Examples ⭐ 18

example projects

Multiple-point geostatistics inversion of reservoir models using spatial generative adversarial networks

Simplemc ⭐ 17

Updated version of a simple MCMC code for cosmological parameter estimation where only expansion history matters.

Generalised Gaussian Processes ⭐ 17

Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods

Markov Chain Monte Carlo Mcmc ⭐ 16

Markov Chain Monte Carlo MCMC methods are implemented in various languages (including R, Python, Julia, Matlab)

Bayesian non-parametric clustering (BnpC) of binary data with missing values and uneven error rates

Cosmohammer ⭐ 16

Cosmological parameter estimation with the MCMC Hammer, please use https://cosmo-gitlab.phys.ethz.ch/cosmo/CosmoHamme this repository is outdated ! Docs at http://cosmo-docs.phys.ethz.ch/cosmoHammer/

A Bayesian latent tree model of high-dimensional heterogeneous data

3dmmdepthfitting ⭐ 15

Efficient 3D Morphable Model Face Fitting using Depth Sensing Technologies

An MCMC algorithm for sampling continuous probability distributions in parallel

Probability_and_statistics ⭐ 14

Course materials for PROBABILITY AND STATISTICS A/B

Pmslice Python ⭐ 14

Pseudo-Marginal Slice Sampling

A toolbox for inference of mixture models

Exoplanet Population Observation Simulator

pdspy: MCMC for Monte Carlo Dust Radiative Transfer Modeling

Starvine ⭐ 12

Tools to construct canonical and regular vines. StarVine can also be used as a bivariate copula fitting tool.

Auxiliaryvariationalmcmc ⭐ 12

Code required to reproduce the experiments in Auxiliary Variational MCMC

Pymc Multilevel Example ⭐ 12

Example Multilevel Model in PyMC

Pippi: parse it, plot it. A program for operating on MCMC chains and related lists of samples from a function or distribution.

Bayesian model averaging of an objective function over a model class using advanced MCMC techniques.

Монте Карло изчисления с Python

Xspec_emcee ⭐ 11

Use EMCEE to do MCMC analyses of spectra in XSPEC

Radex_emcee ⭐ 10

RADEX+emcee, LVG modeling with an MCMC approach, used in arXiv: 1709.04740

A batteries-included template for Bayesian data analysis projects

Pyxspeccorner ⭐ 10

A Python tool to make interactive Corner Plots based on XSPEC MCMC chains saved to FITS files.

Covid19uk ⭐ 10

Girth_mcmc ⭐ 9

Bayesian IRT submodule for GIRTH

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