An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: bayesian-methods

maximo2010-pixel/deep-generative-models

🔍 Explore deep generative models with this structured repository for experiments, utilities, and course assignments using notebooks and scripts.

Language: Jupyter Notebook - Size: 41.6 MB - Last synced at: about 8 hours ago - Pushed at: about 11 hours ago - Stars: 0 - Forks: 0

StochasticTree/stochtree

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

Language: C++ - Size: 40.4 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 59 - Forks: 17

BayesianRL/BayesianArena.jl

A problemset for uncertainty quantification and knowledge injection into reinforcement learning and active inference agents

Language: Julia - Size: 206 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

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: 3 days ago - Pushed at: 11 days ago - Stars: 2,691 - Forks: 379

google/uncertainty-baselines

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

Language: Python - Size: 8.74 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1,544 - Forks: 215

google/edward2

A simple probabilistic programming language.

Language: Jupyter Notebook - Size: 21 MB - Last synced at: 3 days ago - Pushed at: 2 months ago - Stars: 698 - Forks: 78

nimble-dev/nimble

The base NIMBLE package for R

Language: C++ - Size: 72.6 MB - Last synced at: about 2 hours ago - Pushed at: about 4 hours ago - Stars: 182 - Forks: 23

avehtari/BDA_course_Aalto

Bayesian Data Analysis course at Aalto

Language: TeX - Size: 496 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 2,237 - Forks: 568

NumCosmo/NumCosmo

NumCosmo main code

Language: C - Size: 217 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 44 - Forks: 18

mlatinov/Bayes-Training-with-R-and-Stan

Bayes Training with R and Stan

Language: R - Size: 73.2 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

n-kall/priorsense

priorsense: an R package for prior diagnostics and sensitivity

Language: R - Size: 11.8 MB - Last synced at: 11 days ago - Pushed at: 12 days ago - Stars: 66 - Forks: 9

nansencenter/DAPPER

Data Assimilation with Python: a Package for Experimental Research

Language: Python - Size: 9.14 MB - Last synced at: 7 days ago - Pushed at: 2 months ago - Stars: 386 - Forks: 130

tensorflow/probability

Probabilistic reasoning and statistical analysis in TensorFlow

Language: Jupyter Notebook - Size: 153 MB - Last synced at: 12 days ago - Pushed at: 17 days ago - Stars: 4,386 - Forks: 1,120

jbrea/BayesianOptimization.jl

Bayesian optimization for Julia

Language: Julia - Size: 191 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 97 - Forks: 16

stan-dev/loo

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

Language: R - Size: 130 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 156 - Forks: 36

aus10powell/Fuzzy-Dempster-Shafer

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

Language: Python - Size: 223 KB - Last synced at: 10 days ago - Pushed at: about 2 years ago - Stars: 25 - Forks: 8

pyxu-org/pyxu

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

Language: Python - Size: 286 MB - Last synced at: 15 days ago - Pushed at: 7 months ago - Stars: 139 - Forks: 16

nansencenter/DA-tutorials

Tutorials on data assimilation (DA) and the EnKF

Language: Python - Size: 13.2 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 176 - Forks: 55

markovmodel/PyEMMA 📦

🚂 Python API for Emma's Markov Model Algorithms 🚂

Language: Python - Size: 10.3 MB - Last synced at: 18 days ago - Pushed at: about 2 years ago - Stars: 327 - Forks: 125

GuillaumeBiessy/WH

Revisiting Whittaker-Henderson Smoothing

Language: R - Size: 11.3 MB - Last synced at: 18 days ago - Pushed at: 5 months ago - Stars: 11 - Forks: 0

rhayes777/PyAutoFit

PyAutoFit: Classy Probabilistic Programming

Language: Python - Size: 26.4 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 63 - Forks: 12

traitecoevo/hmde

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

Language: HTML - Size: 42.4 MB - Last synced at: 18 days ago - Pushed at: 19 days ago - Stars: 3 - Forks: 4

Heracleitos/Heracleitos.github.io

The Hellenic Complex Systems Laboratory (HCSL) GitHub repository.

Language: Mathematica - Size: 442 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 1 - Forks: 0

hyun95roh/bayesian_analysis

Github repo for Bayesian applications in real-world problems. Please visit the webpage:

Language: HTML - Size: 9.59 MB - Last synced at: 24 days ago - Pushed at: 25 days ago - Stars: 1 - Forks: 0

tpapp/LogDensityProblems.jl

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

Language: Julia - Size: 1.18 MB - Last synced at: 28 days ago - Pushed at: 6 months ago - Stars: 45 - Forks: 9

FrankPortman/bayesAB

🐢 bayesAB: Fast Bayesian Methods for A/B Testing

Language: R - Size: 18.3 MB - Last synced at: 20 days ago - Pushed at: over 4 years ago - Stars: 314 - Forks: 41

stan-dev/rstanarm

rstanarm R package for Bayesian applied regression modeling

Language: R - Size: 117 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 399 - Forks: 137

stan-dev/shinystan

shinystan R package and ShinyStan GUI

Language: R - Size: 32.9 MB - Last synced at: 18 days ago - Pushed at: about 1 month ago - Stars: 199 - Forks: 47

thevaachandereng/bayesCT

Adaptive Bayesian Clinical Trial

Language: R - Size: 2.64 MB - Last synced at: 18 days ago - Pushed at: over 5 years ago - Stars: 17 - Forks: 7

DearKarl/Bayesian_Linear_Regression

This repository provides an R-based Bayesian Linear Regression analysis, featuring data handling for the Boston Housing dataset, Gibbs sampling with posterior inference, hyperparameter tuning (τ²), and performance diagnostics (RMSE, bias-variance), visualizations for uncertainty and predictions.

Size: 2.56 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

DearKarl/Census_Trends_Analysis

Analysis of housing inequality in England and Wales using machine learning and Bayesian modelling. The project uses the 2011 and 2021 Census datasets with harmonised ONS geographies for cross-year comparisons of tenure and accommodation, and it employs Tableau dashboards as the visualisation tool.

Language: Jupyter Notebook - Size: 7.65 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

pints-team/pints

Probabilistic Inference on Noisy Time Series

Language: Python - Size: 192 MB - Last synced at: 29 days ago - Pushed at: about 1 month ago - Stars: 239 - Forks: 34

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: 27 days ago - Pushed at: 11 months ago - Stars: 13 - Forks: 4

hbmep/hbmep

Hierarchical Bayesian estimation of MEP recruitment curves

Language: Python - Size: 7.39 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 5 - Forks: 1

Tekadias/arcade-ai-agent

🤖 Build AI agents with Arcade AI and LangGraph for email management, task collaboration, and long-term memory in a robust production-ready setup.

Language: Python - Size: 16.6 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

grinisrit/noa

Differentiable Programming Algorithms in Modern C++

Language: LLVM - Size: 154 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 155 - Forks: 31

blsp-group/awesome-bayesian-ml

A curated repository of awesome Bayesian optimization resources.

Size: 46.9 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

omarkahol/cmp

Bayesian calibration of computer codes using sequential and adaptive approaches

Language: C++ - Size: 5.64 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

VNyaga/Metapreg

One-stage meta-analysis of proportions from binomial data in Stata

Language: Stata - Size: 10.3 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

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: 2 months ago - Pushed at: over 1 year ago - Stars: 27,858 - Forks: 7,938

brendanhasz/probflow

A Python package for building Bayesian models with TensorFlow or PyTorch

Language: Python - Size: 3.23 MB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 176 - Forks: 16

dmenne/breathteststan

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

Language: R - Size: 6.75 MB - Last synced at: 21 days ago - Pushed at: 2 months ago - Stars: 3 - Forks: 1

Joshuaalbert/jaxns

Probabilistic Programming and Nested sampling in JAX

Language: Python - Size: 52.4 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 207 - Forks: 17

SatvikPraveen/JAX-NSL

Comprehensive JAX implementation of neural networks and scientific computing. Features distributed training, physics-informed networks, custom autodiff, and advanced optimization. Production-ready code with numerical stability, multi-device parallelism, and research-grade implementations.

Language: Jupyter Notebook - Size: 229 KB - Last synced at: 20 days ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

amirabbasasadi/mathematics-computerscience-courses

A collection of awesome mathematics and computer science courses

Size: 166 KB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 132 - Forks: 11

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: about 2 months ago - Pushed at: over 4 years ago - Stars: 62 - Forks: 16

comodin19/BayesVarSel

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

Language: C - Size: 2.91 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 11 - Forks: 6

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: about 2 months ago - Pushed at: over 2 years ago - Stars: 150 - Forks: 34

gcanasherrera/Stats4Cosmology

Collection of Jupyter notebooks demonstrating statistical methods for cosmological data analysis, including Bayesian inference & basic frequentist tools

Language: Jupyter Notebook - Size: 1.28 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 16

LNtrekos/Delaporte-MH-within-Gibbs-Sampler

R implementation of a Bayesian Metropolis Hastings-within-Gibbs sampler for the Delaporte distribution, with stable latent updates, diagnostics, and reproducible examples.

Size: 3.91 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

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: about 1 month ago - Pushed at: 5 months ago - Stars: 20 - Forks: 4

carpentries-incubator/statistical-probabilistic-programming-r

Introduction to Probabilistic Programming

Language: R - Size: 27.9 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 6 - Forks: 9

fulldecent/19-questions

A machine learning / bayesian inference engine assigning attributes to objects

Language: PHP - Size: 177 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 15 - Forks: 6

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: about 1 month ago - Pushed at: 10 months ago - Stars: 15 - Forks: 2

mlojek/bayesian-classifier-chain

Bayesian Chain Classifier for multi-label classification task.

Language: Python - Size: 50.8 KB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

Gerardo1909/IBC1.2025.2 Fork of MetodosBayesianos/IBC1.2025.2

Language: Python - Size: 18.6 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

moaz618/arcade-ai-agent

Build production-ready AI agents with Arcade AI and LangGraph. Integrate tools like Gmail and Asana while leveraging long-term memory. 🌟

Language: Python - Size: 17.6 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

trungnt13/odin-ai

Orgainzed Digital Intelligent Network (O.D.I.N)

Language: Python - Size: 7.02 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 23 - Forks: 11

tpapp/DynamicHMC.jl

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

Language: Julia - Size: 1.36 MB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 251 - Forks: 21

ctpeterson/SwissFit

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

Language: Python - Size: 2.4 MB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 3 - Forks: 0

Kuan-Liu-Lab/bayesmsm

An R package for Bayesian Marginal Structural Models

Language: R - Size: 12.6 MB - Last synced at: 29 days ago - Pushed at: 5 months ago - Stars: 2 - Forks: 1

weijie-chen/Bayesian-Statistics-Econometrics

Bayesian Statistics-Econometrics

Language: Jupyter Notebook - Size: 14.7 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 88 - Forks: 35

blei-lab/edward

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

Language: Jupyter Notebook - Size: 28.5 MB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 4,837 - Forks: 755

alexmclain/PROBE

PaRtitiOned empirical Bayes Ecm (PROBE)

Language: R - Size: 113 MB - Last synced at: 8 days ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

andreacasalino/Easy-Factor-Graph

General purpose C++ library for managing discrete factor graphs

Language: C++ - Size: 17.9 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 37 - Forks: 5

rb-thompson/xgb-exercises

Various data processing techniques for handling missing values

Language: Jupyter Notebook - Size: 140 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

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: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 1

google-research/hyperbo

Pre-trained Gaussian processes for Bayesian optimization

Language: Python - Size: 194 KB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 91 - Forks: 8

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: about 1 month ago - Pushed at: 5 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: 5 months ago - Pushed at: 8 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: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 1

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: 4 months ago - Pushed at: over 5 years ago - Stars: 19 - Forks: 2

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: 6 months ago - Pushed at: 6 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: 6 months ago - Pushed at: over 1 year ago - Stars: 1,864 - Forks: 472

abhinabasaha/ml

Language: Jupyter Notebook - Size: 960 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

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: 5 months 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: 6 months ago - Pushed at: 6 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: 6 months ago - Pushed at: 6 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: 15 days ago - Pushed at: 7 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: 6 months ago - Pushed at: about 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: 3 days ago - Pushed at: 3 months ago - Stars: 14 - Forks: 0

jgomezdans/BRDF_modelling

BRDF modelling using linear kernel models

Language: Jupyter Notebook - Size: 675 KB - Last synced at: 7 months ago - Pushed at: about 6 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: 7 months ago - Pushed at: over 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: 7 months ago - Stars: 0 - Forks: 0

callat-qcd/project_gA

Isovector nucleon axial coupling

Language: Python - Size: 81.6 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 12 - Forks: 4

rlhinrichs/deepsleepai

🧠 DeepSleepAI – EEG Signal Automated Classification

Size: 13.7 KB - Last synced at: 7 months ago - Pushed at: 7 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: 7 months ago - Pushed at: over 3 years ago - Stars: 25 - Forks: 15

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: 10 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: 8 months ago - Pushed at: 8 months ago - Stars: 0 - 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: 6 months ago - Pushed at: 9 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: 7 months ago - Pushed at: over 3 years ago - Stars: 131 - Forks: 19

mikeroyal/Bayesian-Statistics-Guide

Bayesian Statistics Guide

Language: MATLAB - Size: 180 KB - Last synced at: 6 months ago - Pushed at: almost 4 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: 7 months ago - Pushed at: over 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: 5 months ago - Pushed at: about 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: 5 months ago - Pushed at: about 4 years ago - Stars: 19 - Forks: 9

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: 21 days ago - Pushed at: about 1 year ago - Stars: 9 - Forks: 1

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: 9 months ago - Pushed at: 9 months ago - Stars: 7 - Forks: 0

nfmcclure/DataScience350

Notes for Data Science 350 Class

Language: Jupyter Notebook - Size: 46.7 MB - Last synced at: 6 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: 7 months ago - Pushed at: about 7 years ago - Stars: 32 - Forks: 11

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 2 months ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 7

Related Keywords
bayesian-methods 357 bayesian-inference 82 machine-learning 63 bayesian-statistics 59 bayesian 47 python 40 statistics 34 r 33 data-science 29 stan 26 bayesian-data-analysis 25 deep-learning 24 mcmc 21 probabilistic-programming 20 bayesian-optimization 18 r-package 16 tensorflow 14 gaussian-processes 14 pytorch 12 python3 11 matlab 11 neural-networks 11 julia 11 bayes 10 hierarchical-models 10 uncertainty-quantification 9 classification 9 julia-language 9 variational-inference 9 linear-regression 9 logistic-regression 9 optimization 9 artificial-intelligence 8 machine-learning-algorithms 8 reinforcement-learning 8 pymc3 8 probability 8 kalman-filter 7 probabilistic-models 7 regression 7 simulation 6 statistical-analysis 6 bayesian-networks 6 multilevel-models 6 time-series 6 particle-filter 6 parameter-estimation 6 bayesian-machine-learning 6 causal-inference 6 bayesian-network 6 bayesian-neural-networks 6 model-selection 5 data-analysis 5 markov-chain-monte-carlo 5 graphical-models 5 jupyter-notebook 5 statistical-models 5 bayesian-analysis 5 ml 5 neural-network 5 deep-neural-networks 5 pymc 5 uncertainty 5 probabilistic-graphical-models 5 empirical-bayes 4 jags 4 variational-autoencoder 4 statistical-inference 4 natural-language-processing 4 rstan 4 localization 4 lda 4 regression-models 4 ai 4 svm 4 knn-classification 4 coursera 4 bayesian-nonparametric-models 4 svm-classifier 4 signal-processing 4 cosmology 4 model-calibration 4 monte-carlo-methods 3 simulation-modeling 3 probabilistic-machine-learning 3 convolutional-neural-networks 3 numpy 3 modeling 3 rstanarm 3 keras 3 differential-equations 3 gen 3 pyro 3 hyperparameter-tuning 3 bayes-classifier 3 pacman-game 3 sequential-monte-carlo 3 decision-trees 3 robotics 3 linear-models 3