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GitHub topics: bayesian-methods

stan-dev/stan

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.

Language: C++ - Size: 277 MB - Last synced at: about 21 hours ago - Pushed at: 4 days ago - Stars: 2,672 - Forks: 380

tensorflow/probability

Probabilistic reasoning and statistical analysis in TensorFlow

Language: Jupyter Notebook - Size: 153 MB - Last synced at: 1 day ago - Pushed at: about 2 months ago - Stars: 4,349 - Forks: 1,118

nimble-dev/nimble

The base NIMBLE package for R

Language: C++ - Size: 70.9 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 179 - Forks: 23

Heracleitos/Heracleitos.github.io

The Hellenic Complex Systems Laboratory (HCSL) GitHub repository.

Language: Mathematica - Size: 398 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0

stan-dev/loo

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

Language: R - Size: 115 MB - Last synced at: 4 days ago - Pushed at: 13 days ago - Stars: 154 - Forks: 36

nansencenter/DAPPER

Data Assimilation with Python: a Package for Experimental Research

Language: Python - Size: 9.12 MB - Last synced at: 6 days ago - Pushed at: 3 months ago - Stars: 380 - Forks: 128

brendanhasz/probflow

A Python package for building Bayesian models with TensorFlow or PyTorch

Language: Python - Size: 3.23 MB - Last synced at: 5 days ago - Pushed at: almost 3 years ago - Stars: 176 - Forks: 16

NumCosmo/NumCosmo

NumCosmo main code

Language: C - Size: 212 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 44 - Forks: 18

Joshuaalbert/jaxns

Probabilistic Programming and Nested sampling in JAX

Language: Python - Size: 52.4 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 187 - Forks: 15

avehtari/BDA_course_Aalto

Bayesian Data Analysis course at Aalto

Language: TeX - Size: 440 MB - Last synced at: 11 days ago - Pushed at: 6 months ago - Stars: 2,208 - Forks: 563

tpapp/DynamicHMC.jl

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

Language: Julia - Size: 1.32 MB - Last synced at: 6 days ago - Pushed at: 14 days ago - Stars: 251 - Forks: 21

rhayes777/PyAutoFit

PyAutoFit: Classy Probabilistic Programming

Language: Python - Size: 26.2 MB - Last synced at: 6 days ago - Pushed at: 18 days ago - Stars: 64 - Forks: 12

traitecoevo/hmde

Implementation of hierarchical Bayesian longitudinal models to estimate differential equation parameters.

Language: HTML - Size: 40.4 MB - Last synced at: 9 days ago - Pushed at: 14 days ago - Stars: 3 - Forks: 3

blei-lab/edward

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

Language: Jupyter Notebook - Size: 28.5 MB - Last synced at: 20 days ago - Pushed at: over 1 year ago - Stars: 4,837 - Forks: 755

alexmclain/PROBE

PaRtitiOned empirical Bayes Ecm (PROBE)

Language: R - Size: 108 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 1 - Forks: 0

ctpeterson/SwissFit

General-purpose library for fitting models to data with correlated Gaussian-distributed noise

Language: Python - Size: 2.01 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 2 - Forks: 0

GuillaumeBiessy/WH

Revisiting Whittaker-Henderson Smoothing

Language: R - Size: 11.3 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 10 - Forks: 0

jbrea/BayesianOptimization.jl

Bayesian optimization for Julia

Language: Julia - Size: 175 KB - Last synced at: 7 days ago - Pushed at: 11 months ago - Stars: 97 - Forks: 15

FrankPortman/bayesAB

🐢 bayesAB: Fast Bayesian Methods for A/B Testing

Language: R - Size: 18.3 MB - Last synced at: 20 days ago - Pushed at: about 4 years ago - Stars: 315 - Forks: 41

StochasticTree/stochtree

Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference

Language: C++ - Size: 41.1 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 46 - Forks: 13

Kuan-Liu-Lab/bayesmsm

An R package for Bayesian Marginal Structural Models

Language: R - Size: 12.3 MB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 2 - Forks: 1

n-kall/priorsense

priorsense: an R package for prior diagnostics and sensitivity

Language: R - Size: 10.1 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 63 - Forks: 9

stan-dev/rstanarm

rstanarm R package for Bayesian applied regression modeling

Language: R - Size: 117 MB - Last synced at: 8 days ago - Pushed at: about 2 months ago - Stars: 396 - Forks: 136

rb-thompson/xgb-exercises

Various data processing techniques for handling missing values

Language: Jupyter Notebook - Size: 140 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

google/uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

Language: Python - Size: 8.39 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1,512 - Forks: 211

grinisrit/noa

Differentiable Programming Algorithms in Modern C++

Language: LLVM - Size: 153 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 150 - Forks: 29

mlojek/bayesian-classifier-chain

Bayesian Chain Classifier for multi-label classification task.

Language: Python - Size: 50.8 KB - Last synced at: 15 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

amirabbasasadi/mathematics-computerscience-courses

A collection of awesome mathematics and computer science courses

Size: 166 KB - Last synced at: 29 days ago - Pushed at: 6 months ago - Stars: 125 - Forks: 11

pyxu-org/pyxu

Modular and scalable computational imaging in Python with GPU/out-of-core computing.

Language: Python - Size: 286 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 135 - Forks: 16

jmuchovej/ppl-and-bayesian-methods-gen-pyro Fork of CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

A rewrite of "Bayesian Methods for Hackers" in Pyro and Gen.jl. Still holding-fast to the "computation/understanding-first, mathematics-second" teaching paradigm - just using "more modern" libraries.

Language: Jupyter Notebook - Size: 159 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 1

google-research/hyperbo

Pre-trained Gaussian processes for Bayesian optimization

Language: Python - Size: 194 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 91 - Forks: 8

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

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Language: Jupyter Notebook - Size: 164 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 27,425 - Forks: 7,923

AdityaSavara/PEUQSE

Parameter estimation for complex physical problems often suffers from finding ‘solutions’ that are not physically realistic. The PEUQSE software provides tools for finding physically realistic parameter estimates, graphs of the parameter estimate positions within parameter space, and plots of the final simulation results.

Language: Python - Size: 720 MB - Last synced at: 21 days ago - Pushed at: about 2 months ago - Stars: 14 - Forks: 5

uber/orbit

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

Language: Python - Size: 160 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 1,971 - Forks: 136

jordandeklerk/pyloo

Python package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS) for Bayesian Modeling

Language: Python - Size: 4.44 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 1

pints-team/pints

Probabilistic Inference on Noisy Time Series

Language: Python - Size: 192 MB - Last synced at: 11 days ago - Pushed at: 5 months ago - Stars: 238 - Forks: 34

aus10powell/Fuzzy-Dempster-Shafer

A fuzzy machine learning algorithm utilizing Dempster-Shafer and Bayesian Theory

Language: Python - Size: 223 KB - Last synced at: 17 days ago - Pushed at: almost 2 years ago - Stars: 25 - Forks: 7

Seymurhh/project-bayesian-data-modeling

Energy Efficiency Analysis in Buildings This repository presents an exploratory analysis and modeling approach to evaluate energy efficiency in buildings, specifically targeting the heating and cooling loads. The project utilizes the UCI Energy Efficiency dataset to identify significant predictors influencing energy consumption, applying regressio

Language: Jupyter Notebook - Size: 4.7 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

krasserm/bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

Language: Jupyter Notebook - Size: 27.2 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 1,864 - Forks: 472

abhinabasaha/ml

Language: Jupyter Notebook - Size: 960 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

markovmodel/PyEMMA 📦

🚂 Python API for Emma's Markov Model Algorithms 🚂

Language: Python - Size: 10.3 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 325 - Forks: 122

tpapp/LogDensityProblems.jl

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

Language: Julia - Size: 1.18 MB - Last synced at: 6 days ago - Pushed at: 2 months ago - Stars: 41 - Forks: 9

m-clark/bayesian-basics

:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.

Language: Stan - Size: 93 MB - Last synced at: 26 days ago - Pushed at: over 3 years ago - Stars: 85 - Forks: 26

leonardocremasco/TME-Agent

TME: Structured memory engine for LLM agents to plan, rollback, and reason across multi-step tasks. DAG upgrade in progress.

Language: Python - Size: 1.65 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

fehiepsi/rethinking-pyro

Statistical Rethinking with PyTorch and Pyro

Language: Jupyter Notebook - Size: 64.3 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 163 - Forks: 36

wpgp/wopr

An R package and Shiny application to provide API access to the WorldPop Open Population Repository (WOPR)

Language: HTML - Size: 17.8 MB - Last synced at: 5 days ago - Pushed at: 3 months ago - Stars: 39 - Forks: 8

ericmjl/bayesian-analysis-recipes

A collection of Bayesian data analysis recipes using PyMC3

Language: Jupyter Notebook - Size: 126 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 557 - Forks: 111

BayesianRL/NonparametricVI.jl

Particle-based and nonparametric variational methods for approximate Bayesian inference and Probabilistic Programming

Language: Julia - Size: 13.1 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 14 - Forks: 0

nansencenter/DA-tutorials

Tutorials on data assimilation (DA) and the EnKF

Language: Python - Size: 10.5 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 155 - Forks: 53

epiverse-trace/serofoi

Estimates the Force-of-Infection of a given pathogen from population based sero-prevalence studies

Language: R - Size: 16.3 MB - Last synced at: 27 days ago - Pushed at: 3 months ago - Stars: 20 - Forks: 4

google/edward2

A simple probabilistic programming language.

Language: Jupyter Notebook - Size: 21 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 692 - Forks: 76

jgomezdans/BRDF_modelling

BRDF modelling using linear kernel models

Language: Jupyter Notebook - Size: 675 KB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 18 - Forks: 7

Sardhendu/Data-Science-Projects

{PySpark, R, Python}: Several Data Science projects

Language: Jupyter Notebook - Size: 103 MB - Last synced at: 3 months ago - Pushed at: about 7 years ago - Stars: 15 - Forks: 8

SirCornflake/BMS

Tools to perform model selection alongside estimation under Linear, Logistic, Negative binomial, Quantile, and Skew-Normal regression. Under the spike-and-slab method, a probability for each possible model is estimated with the posterior mean, credibility interval, and standard deviation of coefficients and parameters under the most probable model.

Language: R - Size: 304 KB - Last synced at: 18 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

rlhinrichs/deepsleepai

🧠 DeepSleepAI – EEG Signal Automated Classification

Size: 13.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

stratisMarkou/sample-efficient-bayesian-rl

Source for the sample efficient tabular RL submission to the 2019 NIPS workshop on Biological and Artificial RL

Language: Jupyter Notebook - Size: 44.8 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 25 - Forks: 15

stan-dev/shinystan

shinystan R package and ShinyStan GUI

Language: R - Size: 32.9 MB - Last synced at: 4 days ago - Pushed at: 6 months ago - Stars: 199 - Forks: 47

kenlimmj/fightin-words

A scikit-learn compliant implementation of Monroe et al.'s Fightin' Words analysis method.

Language: Python - Size: 10.7 KB - Last synced at: 29 days ago - Pushed at: over 6 years ago - Stars: 11 - Forks: 4

abdullahau/bayesian-analysis

Bayesian data analysis and causal inference using Python & PyMC

Language: HTML - Size: 685 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

carpentries-incubator/statistical-probabilistic-programming-r

Introduction to Probabilistic Programming

Language: R - Size: 29.2 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 5 - Forks: 6

hbmep/hbmep

Hierarchical Bayesian estimation of MEP recruitment curves

Language: Python - Size: 7.09 MB - Last synced at: 19 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

lawmurray/Birch

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

Language: C++ - Size: 13.2 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 115 - Forks: 14

Shmuma/rethinking-2ed-julia

Port of Statistical Rethinking (2nd edition) code to Julia

Language: Jupyter Notebook - Size: 28.6 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 131 - Forks: 19

cgre-aachen/bayseg

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

Language: Jupyter Notebook - Size: 65.4 MB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 63 - Forks: 15

mikeroyal/Bayesian-Statistics-Guide

Bayesian Statistics Guide

Language: MATLAB - Size: 180 KB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 15 - Forks: 4

rfeinman/pyBPL

Python implementation of Bayesian Program Learning tools (with PyTorch)

Language: Python - Size: 43.5 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 71 - Forks: 11

SuperBruceJia/EEG-BayesianCNN

This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.

Language: Python - Size: 204 KB - Last synced at: 22 days ago - Pushed at: almost 5 years ago - Stars: 30 - Forks: 3

tallamjr/barberbook

Solutions for David Barber's "Bayesian Reasoning and Machine Learning" Book

Language: MATLAB - Size: 5.82 MB - Last synced at: 22 days ago - Pushed at: almost 4 years ago - Stars: 19 - Forks: 9

thevaachandereng/bayesCT

Adaptive Bayesian Clinical Trial

Language: R - Size: 2.64 MB - Last synced at: 4 months ago - Pushed at: almost 5 years ago - Stars: 14 - Forks: 7

dennishnf/indoor-location-using-naive-bayes

The scripts were intended to describe a Naive-Bayes-based approach to indoor location via WiFi signals.

Language: Python - Size: 79.1 KB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 17 - Forks: 2

ThomasGesseyJones/FullyBayesianForecastsExample

Example of a fully Bayesian forecast using evidence networks applied to 21-cm cosmology

Language: TeX - Size: 5.74 MB - Last synced at: 9 days ago - Pushed at: 11 months ago - Stars: 9 - Forks: 1

weijie-chen/Bayesian-Statistics-Econometrics

Bayesian Statistics-Econometrics

Language: Jupyter Notebook - Size: 14.7 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 84 - Forks: 33

biaslab/ForneyLab.jl

Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.

Language: Julia - Size: 33.3 MB - Last synced at: 25 days ago - Pushed at: about 2 years ago - Stars: 149 - Forks: 33

LaloLozas16041/BayesianStatistics

Aquí encontrarás materiales didácticos, ejercicios, conjuntos de datos y recursos para profundizar en el análisis bayesiano. Este curso está dirigido a estudiantes interesados en métodos estadísticos avanzados, análisis de datos y programación estadística.

Language: Jupyter Notebook - Size: 3.8 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 7 - Forks: 0

nfmcclure/DataScience350

Notes for Data Science 350 Class

Language: Jupyter Notebook - Size: 46.7 MB - Last synced at: 2 months ago - Pushed at: over 8 years ago - Stars: 24 - Forks: 25

OFAI/BayesianNonparametrics.jl

BayesianNonparametrics in julia

Language: Julia - Size: 284 KB - Last synced at: 3 months ago - Pushed at: almost 7 years ago - Stars: 32 - Forks: 11

fulldecent/19-questions

A machine learning / bayesian inference engine assigning attributes to objects

Language: PHP - Size: 175 KB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 15 - Forks: 7

cdslaborg/paramontex

This is a repository for the ParaMonte library examples. For more information, visit:

Language: Jupyter Notebook - Size: 210 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 7

Apriasih/Bayesian

My solutions to exercises from “An Introduction to Bayesian Data Analysis for Cognitive Science” by Bruno Nicenboim, Daniel J. Schad, and Shravan Vasishth

Size: 0 Bytes - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

andreacasalino/Easy-Factor-Graph

General purpose C++ library for managing discrete factor graphs

Language: C++ - Size: 17.9 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 36 - Forks: 4

avehtari/rhat_ess

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

Language: HTML - Size: 70.4 MB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 31 - Forks: 5

alexkroman/bayesian-planner

Simple script to illustrate Bayesian probabilities

Language: JavaScript - Size: 4.88 KB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

chritoth/bci-arco-gp

ArCO-GP, an effective method for Bayesian causal inference via structural marginalisation and neural autoregressive orders.

Language: Python - Size: 98.6 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 1

rustamhidayatsimatupang/BayesArima

BayesARIMA

Language: Jupyter Notebook - Size: 6.84 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

jottemka/agglomeration_condition

A new but puzzling condition for agglomeration in Bayesian confirmation.

Language: Jupyter Notebook - Size: 427 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

czheluo/Env-pipeline

Bayesian method for Environmental correlations analysis pipeline

Language: Python - Size: 4.62 MB - Last synced at: 4 months ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 0

VerisimilitudeX/PasswordLLM

A fast combinatorial tool that tests your password against real-world scenarios utilizing a novel Bayesian Machine Learning (BML) approach.

Language: Rust - Size: 11.8 MB - Last synced at: 1 day ago - Pushed at: 6 months ago - Stars: 14 - Forks: 2

madbro206/maddy_machinelearning

CSE 546 Machine Learning Class @ UW

Language: Python - Size: 4.28 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

dmenne/breathteststan

Stan-based fitting function for use with dmenne/breathtestcore. Stan functions are in a separate package for easier testing.

Language: R - Size: 6.52 MB - Last synced at: 14 days ago - Pushed at: 6 months ago - Stars: 3 - Forks: 1

comodin19/BayesVarSel

BayesVarSel: R package to calculate Bayes factors, model choice and variable selection in linear models

Language: C - Size: 2.87 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 8 - Forks: 5

LoLab-MSM/Gleipnir

Python toolkit for Bayesian parameter inference, model calibration, and model selection using Nested Sampling

Language: Python - Size: 359 KB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 2

garethmarkel/PRScs.jl

Julia implementation of Ge et al's PRScs

Language: Julia - Size: 35.2 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

GiorgiaAuroraAdorni/bn-based-learning-networks-with-noisy-gates

Language: Java - Size: 42.4 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

BayesWatch/deep-kernel-transfer

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

Language: Python - Size: 641 KB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 202 - Forks: 30

m-clark/mcmc-algorithms

Raw files for a document providing a list of mcmc algorithm descriptions.

Size: 1.8 MB - Last synced at: 4 months ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 1

kyosek/Probability-Calibration-Imbalanced

This repository implements Pozzolo, et al., (2015)'s probability calibration for imbalanced data.

Language: Python - Size: 310 KB - Last synced at: 6 days ago - Pushed at: 7 months ago - Stars: 13 - Forks: 4

stablemarkets/BSP_DTR

Companion code for the following paper: https://doi.org/10.1093/biostatistics/kxad035

Language: R - Size: 404 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

topipa/iwmm

iwmm: an R package for adaptive importance sampling

Language: R - Size: 505 KB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 8 - Forks: 2

christopherdanielhare/anominate

alpha-NOMINATE Ideal Point Estimator (R package)

Language: C - Size: 2.66 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

FoamScience/nhr-training-sandia-d-flame-presentation

Language: HTML - Size: 8.57 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Related Keywords
bayesian-methods 341 bayesian-inference 78 machine-learning 59 bayesian-statistics 56 bayesian 47 python 37 statistics 32 r 30 data-science 28 bayesian-data-analysis 25 stan 24 deep-learning 23 mcmc 19 probabilistic-programming 19 bayesian-optimization 18 r-package 16 tensorflow 14 gaussian-processes 14 julia 11 matlab 11 python3 11 bayes 10 hierarchical-models 10 neural-networks 9 julia-language 9 pytorch 9 linear-regression 9 classification 9 variational-inference 8 pymc3 8 probability 8 artificial-intelligence 8 machine-learning-algorithms 8 uncertainty-quantification 8 logistic-regression 8 optimization 7 regression 7 probabilistic-models 7 kalman-filter 7 causal-inference 6 time-series 6 multilevel-models 6 simulation 6 parameter-estimation 6 statistical-analysis 6 bayesian-networks 6 bayesian-network 6 particle-filter 6 bayesian-neural-networks 6 bayesian-analysis 5 model-selection 5 reinforcement-learning 5 probabilistic-graphical-models 5 ml 5 neural-network 5 deep-neural-networks 5 uncertainty 5 jupyter-notebook 5 bayesian-machine-learning 5 data-analysis 5 statistical-models 5 lda 4 model-calibration 4 knn-classification 4 localization 4 svm 4 signal-processing 4 coursera 4 statistical-inference 4 empirical-bayes 4 natural-language-processing 4 rstan 4 variational-autoencoder 4 svm-classifier 4 markov-chain-monte-carlo 4 graphical-models 4 jags 4 regression-models 4 pymc 4 bayesian-nonparametric-models 4 pyro 3 gen 3 bayes-classifier 3 hyperparameter-tuning 3 keras 3 cross-validation 3 rstanarm 3 robotics 3 model-comparison 3 simulation-modeling 3 naive-bayes-classifier 3 modeling 3 kalman-filtering 3 posterior-probability 3 recommender-system 3 numpy 3 linear-models 3 convolutional-neural-networks 3 kernel-methods 3 tutorial 3