Topic: bayesian-methods

CamDavidsonPilon / Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computatio…

bayesian-methods pymc mathematical-analysis jupyter-notebook data-science statistics

Jupyter Notebook Updated Feb 19, 2019

blei-lab / edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

bayesian-methods deep-learning machine-learning data-science tensorflow neural-networks statistics probabilistic-programming

Jupyter Notebook Updated Jan 3, 2019

tensorflow / probability

1.9k

Probabilistic reasoning and statistical analysis in TensorFlow

tensorflow bayesian-methods deep-learning machine-learning data-science neural-networks statistics probabilistic-programming

Jupyter Notebook Updated Mar 22, 2019 20 issues need help

stan-dev / stan

1.5k

Stan development repository (home page is linked below). The master branch contains the current release. The develop …

stan bayesian-inference bayesian bayesian-methods bayesian-statistics bayesian-data-analysis

Stan Updated Mar 22, 2019 15 issues need help

krasserm / bayesian-machine-learning

229

Notebooks related to Bayesian methods for machine learning

machine-learning bayesian-methods bayesian-machine-learning gaussian-processes bayesian-optimization variational-autoencoder

Jupyter Notebook Updated Mar 16, 2019

ericmjl / bayesian-analysis-recipes

220

A collection of Bayesian data analysis recipes using PyMC3

bayesian-inference bayesian bayesian-statistics bayesian-data-analysis bayesian-analysis bayesian-methods notebook treatment-groups neural-networks

Jupyter Notebook Updated Mar 16, 2019

FrankPortman / bayesAB

211

🐢 bayesAB: Fast Bayesian Methods for A/B Testing

r bayesian-methods bayesian-tests ab-testing cran

R Updated Jan 17, 2019

stan-dev / rstanarm

193

rstanarm R package for Bayesian applied regression modeling

stan multilevel-models r-package bayesian bayesian-inference bayesian-methods bayesian-statistics bayesian-data-analysis statistical-modeling r rstan rstanarm

R Updated Mar 22, 2019

stan-dev / shinystan

144

shinystan R package and ShinyStan GUI

stan mcmc r-package statistical-graphics shiny-apps r bayesian bayesian-statistics bayesian-inference bayesian-data-analysis bayesian-methods

R Updated Mar 21, 2019

markovmodel / PyEMMA

136

🚂 Python API for Emma's Markov Model Algorithms 🚂

python hidden-markov-model molecular-dynamics analysis markov-state-model tica time-series hmm bayesian-methods markov-model mbar kinetic-modeling umbrella-sampling molecular-modeling

Python Updated Feb 20, 2019

jonsedar / pymc3_vs_pystan

96

Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/lon…

pymc3 pystan bayesian-inference bayesian-methods hierarchical-models

Jupyter Notebook Updated May 22, 2016

junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3

91

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

pymc3 bayesian-inference bayesian-methods data-science data-analysis statistics

Jupyter Notebook Updated Nov 13, 2017

amidst / toolbox

86

A Java Toolbox for Scalable Probabilistic Machine Learning

data-science machine-learning bayesian-methods bayesian-networks streaming-data latent-variable-models graphical-models

Java Updated Nov 12, 2018

nansencenter / DAPPER

69

Data Assimilation with Python: a Package for Experimental Research (DAPPER)

data-assimilation enkf kalman-filtering state-estimation particle-filter kalman bayesian-methods bayesian-filter chaos

Python Updated Mar 20, 2019

nimble-dev / nimble

64

The base NIMBLE package for R

bayesian-inference mcmc hierarchical-models probabilistic-programming bayesian-methods r

C++ Updated Mar 22, 2019

tpapp / DynamicHMC.jl

63

Bare-bones implementation of robust dynamic Hamiltonian Monte Carlo methods.

julia-language hybrid-monte-carlo bayesian-inference bayesian-methods bayesian hamiltonian-monte-carlo julia bayesian-statistics

Julia Updated Mar 11, 2019

stan-dev / loo

59

loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

cross-validation stan r-package bayesian-data-analysis information-criterion bayesian-methods model-comparison

R Updated Mar 18, 2019

pints-team / pints

47

Probabilistic Inference on Noisy Time Series

bayesian-methods inverse-problems parameter-estimation numerical-optimization

Python Updated Mar 22, 2019

matheusportela / Multiagent-RL

39

Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the Univ…

reinforcement-learning multiagent-systems python q-learning bayesian-methods pacman-game

Python Updated Sep 30, 2018

m-clark / bayesian-basics

32

🚫

↩️ A document that introduces Bayesian data analysis.

bayesian-inference bayesian-methods stan rstan r bayesian-statistics bayesian mcmc hamiltonian-monte-carlo gibbs posterior-probability prior likelihood metropolis-hastings posterior-predictive regression-models bayesian-analysis bayesian-data-analysis

Stan Updated Jul 30, 2018

biaslab / ForneyLab.jl

31

Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style fact…

bayesian-methods machine-learning factor-graph probabilistic-graphical-models probabilistic-programming state-space-models

Julia Updated Mar 22, 2019 2 issues need help

stephenslab / rss

25

Regression with Summary Statistics.

regression gwas summary-statistics genetics genomics bayesian-methods

MATLAB Updated Jan 21, 2019

kieranrcampbell / ouija

24

Descriptive probabilistic marker gene approach to single-cell pseudotime inference

single-cell gene-expression factor-analysis bayesian-methods

R Updated Feb 5, 2019

cgre-aachen / bayseg

23

An unsupervised machine learning algorithm for the segmentation of spatial data sets.

segmentation python3 hidden-markov-models bayesian-methods gaussian-mixture-models gibbs-energy gibbs-sampling markov-chain machine-learning mixture-model geophysics

Jupyter Notebook Updated Feb 6, 2019

nfmcclure / DataScience350

22

Notes for Data Science 350 Class

teaching-materials data-science linear-regression genetic-algorithm r python bayesian-methods neural-network hypothesis-testing

Jupyter Notebook Updated Mar 7, 2017

ranery / Bayesian-CycleGAN

20

Bayesian CycleGAN via Marginalizing Latent Sampling

generative-adversarial-network cyclegan bayesian-methods image-segmentation image-translation

Python Updated Dec 20, 2018

OFAI / BayesianNonparametrics.jl

18

BayesianNonparametrics in julia

bayesian-nonparametric-models julia dirichlet-process-mixtures bayesian-machine-learning bayesian-methods

Julia Updated Sep 6, 2018

fehiepsi / rethinking-pyro

15

Statistical Rethinking with PyTorch and Pyro - WIP

bayesian-data-analysis bayesian-inference bayesian-statistics bayesian-methods

Jupyter Notebook Updated Feb 2, 2019

DmitrySerg / DeepBayes

12

Bayesian methods in deep learning Summer School

bayesian-methods deep-learning mcmc python

Jupyter Notebook Updated Aug 31, 2017

NumCosmo / NumCosmo

12

NumCosmo main code

numerical-calculations cosmology large-scale-structure bayesian-methods numerical-optimization fisher-matrix monte-carlo c gobject gobject-introspection cluster-number-counts primordial-cosmology mcmc inflation

C Updated Mar 18, 2019 1 issue needs help

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bayesian-methods

Repositories 135