Projects in Awesome Lists tagged with bayes

https://github.com/avehtari/bda_course_aalto

Bayesian Data Analysis course at Aalto

bayes bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-workflow

Last synced: 05 Dec 2024

https://github.com/avehtari/BDA_course_Aalto

Bayesian Data Analysis course at Aalto

bayes bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-workflow

Last synced: 11 Nov 2024

https://avehtari.github.io/BDA_course_Aalto/

Bayesian Data Analysis course at Aalto

bayes bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-workflow

Last synced: 13 Nov 2024

https://github.com/allendowney/thinkbayes2

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

bayes bayesian-statistics jupyter python

Last synced: 17 Dec 2024

https://github.com/AllenDowney/ThinkBayes2

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

bayes bayesian-statistics jupyter python

Last synced: 27 Nov 2024

https://allendowney.github.io/ThinkBayes2/

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

bayes bayesian-statistics jupyter python

Last synced: 13 Nov 2024

https://github.com/kumar-shridhar/pytorch-bayesiancnn

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

aleatoric-uncertainties bayes bayes-by-backprop bayesian-convnets bayesian-deep-learning bayesian-inference bayesian-network bayesian-networks bayesian-neural-networks bayesian-statistics convolutional-neural-networks image-recognition python pytorch pytorch-cnn variational-bayes variational-inference

Last synced: 21 Dec 2024

https://github.com/kumar-shridhar/PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

aleatoric-uncertainties bayes bayes-by-backprop bayesian-convnets bayesian-deep-learning bayesian-inference bayesian-network bayesian-networks bayesian-neural-networks bayesian-statistics convolutional-neural-networks image-recognition python pytorch pytorch-cnn variational-bayes variational-inference

Last synced: 30 Oct 2024

https://github.com/fredwu/simple_bayes

A Naive Bayes machine learning implementation in Elixir.

bayes classifier machine-learning naive-bayes-classifier

Last synced: 01 Nov 2024

https://github.com/stan-dev/posteriordb

Database with posteriors of interest for Bayesian inference

bayes bayesian posterior

Last synced: 12 Nov 2024

https://github.com/stan-dev/posterior

The posterior R package

bayes bayesian mcmc r-package

Last synced: 20 Dec 2024

https://github.com/myazi/mylearn

machine learning algorithm

adaboost bayes cart crf dnn gmm hmm id3 kmeans-clustering knn linear-regression log logistic-regression memm rf softmax-regression svm

Last synced: 10 Oct 2024

https://github.com/fredwu/stemmer

An English (Porter2) stemming implementation in Elixir.

bayes porter stemmer

Last synced: 01 Nov 2024

https://github.com/stan-dev/loo

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

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

Last synced: 20 Dec 2024

https://github.com/stan-dev/cmdstanr

CmdStanR: the R interface to CmdStan

bayes bayesian markov-chain-monte-carlo maximum-likelihood mcmc r-package stan variational-inference

Last synced: 18 Dec 2024

https://github.com/surmon-china/naivebayes

NaiveBayes classifier for JavaScript

bayes classifier javascript-library machine-learning machine-learning-algorithms naive naive-bayes naive-bayes-algorithm naive-bayes-classification naive-bayes-classifier naivebayes node-ml nodejs

Last synced: 27 Oct 2024

https://github.com/stan-dev/projpred

Projection predictive variable selection

bayes bayesian bayesian-inference r-package rstanarm stan statistics variable-selection

Last synced: 21 Dec 2024

https://github.com/juliarobotics/incrementalinference.jl

Clique recycling non-Gaussian (multi-modal) factor graph solver; also see Caesar.jl.

bayes bayes-network bayes-tree belief-propagation caesar chapman-kolmogorov factor-graphs filtering-algorithm inference isam julia-language multi-hypothesis multi-modal nonparametric optimization parametric robotics slam state-estimation sum-product

Last synced: 15 Dec 2024

https://github.com/fieg/bayes

Implementation of Naive Bayes Classifier algorithm in PHP.

bayes machine-learning naive-bayes-classifier php

Last synced: 30 Nov 2024

https://github.com/niiknow/bayes

naive bayes in php

bayes classifier machine-learning machine-learning-algorithms naive naive-bayes naive-bayes-algorithm naive-bayes-classification naive-bayes-classifier naivebayes php php-library php-ml

Last synced: 03 Dec 2024

https://github.com/jgoerner/distribution-cheatsheet

📈📄👀A lookup repo for a variety of discrete and continuous distributions (incl. Beta, Binomial, Cauchy, Chi-squared, Geometric, Hypergeometric, Normal & Poisson)

bayes cauchy characteristics chi-square distribution distribution-cheatsheet geometric lookup normal poisson pymc3 python random-variables statistics

Last synced: 31 Oct 2024

https://github.com/n-kall/priorsense

priorsense: an R package for prior diagnostics and sensitivity

bayes bayesian bayesian-data-analysis bayesian-methods prior-distribution r r-package sensitivity-analysis stan

Last synced: 16 Dec 2024

https://github.com/myazi/nlp

natural language processing

bayes crf memm mm ngram

Last synced: 13 Nov 2024

https://github.com/unbalancedparentheses/the_bayes_way

📚 The Bayes Way 🎓

bayes bayesian-statistics probabilistic-programming probability statistics

Last synced: 15 Nov 2024

https://github.com/fcanas/bayes

Naive Bayes Classifier in Swift for Mac and iOS

bayes naive-bayes-classifier swift

Last synced: 31 Oct 2024

https://github.com/danheck/metabma

Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis

bayes bayes-factor bayesian-inference evidence-synthesis meta-analysis model-averaging r stan

Last synced: 27 Oct 2024

https://github.com/eigenfoo/random

This is all my random garbage.

bayes deep-learning python quantitative-finance random

Last synced: 28 Oct 2024

https://github.com/thomasnield/bayes_user_input_prediction

Demonstration of using Naive Bayes to predict user inputs with Kotlin 1.2 std-lib

bayes bayes-classifier data-science kotlin

Last synced: 30 Oct 2024

https://github.com/integrated-inferences/CausalQueries

Bayesian inference from binary causal models

bayes causal dags mixedmethods stan

Last synced: 11 Nov 2024

https://github.com/4ment/phylostan

Phylogenetic inference using Stan

bayes hmc phylogenetics pystan stan variational-inference

Last synced: 07 Nov 2024

https://github.com/rensvandeschoot/tutorials

Underlying code for the online stats training website.

bayes bayesian-statistics jasp mplus r

Last synced: 22 Nov 2024

https://github.com/zephery/weiboflask

微博情感分析，使用flask制作restful api，毕业设计衍生项目

adaboost bayes flask machine-learning

Last synced: 10 Nov 2024

https://github.com/derhuerst/nbayes

A Naive Bayes classifier written in JavaScript.

bayes natural-language-processing nlp

Last synced: 08 Nov 2024

https://github.com/sap-archive/bayesian-network-builder

Domain specific language for modelling dynamic Bayesian networks and estimating posteriors

bayes bayesian-inference bayesian-networks dsl

Last synced: 30 Sep 2024

https://github.com/mikeroyal/bayesian-statistics-guide

Bayesian Statistics Guide

bayes bayes-classifier bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-network bayesian-networks bayesian-optimization bayesian-statistics deep-learning machine-learning pytorch statistics

Last synced: 09 Nov 2024

https://github.com/hayesall/awesome-bayes-nets

⚗️ A curated list of Books, Research Papers, and Software for Bayesian Networks.

awesome awesome-list bayes bayesian-networks machine-learning probabilistic-graphical-models

Last synced: 11 Oct 2024

https://github.com/fweber144/shinybrms

An R package providing a GUI ('shiny' app) for the R package 'brms'.

bayes bayesian bayesian-data-analysis bayesian-inference bayesian-statistics brms cmdstanr gui mcmc r r-package rstan shiny shiny-app stan statistical-analysis statistical-inference statistical-models statistics

Last synced: 12 Nov 2024

https://github.com/jhrcook/bayesian-data-analysis-course

My notes and work for the Bayesian Data Analysis course taught by Aki Vehtari.

bayes bayesian-data-analysis bayesian-statistics course distill-website rmarkdown stan

Last synced: 11 Oct 2024

https://github.com/k-g-prajwal/machine-learning-projects

Awesome Machine Learning Projects.

bayes machine-learning machine-learning-algorithms machinelearning

Last synced: 09 Nov 2024

https://github.com/jbris/stan-cmdstanr-gpu-docker

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

bayes bayesian-inference brms cmdstan cmdstanr data-science docker posterior probabilistic-programming projpred rstan rstanarm shinystan stan stan-gpu stan-lang stan-math-library tidybayes tidyverse

Last synced: 13 Nov 2024

https://github.com/vasishth/smlp2017

Summer School: Statistical Methods for Linguistics and Psychology, 2017, University of Potsdam, Germany

bayes bayesian-inference frequentist-methods linguistics psychology statistics summer-schools

Last synced: 21 Nov 2024

https://github.com/jose-jaen/airbnb

Airbnb price prediction using Machine Learning and Deep Learning

ai algorithms bayes bayesian-optimization bayesian-statistics data-science deep-learning deployment econometrics machine-learning python streamlit xai

Last synced: 16 Nov 2024

https://github.com/maicius/dataminingalgorithm

Some data mining algorithms, ANN, KNN and NavieBayes. Data sets is 'titanic.dat'

bayes knn navie

Last synced: 11 Nov 2024

https://github.com/alexandersilvab/bflib

Header-only Bayes Filters Library

bayes bayesian bayesian-methods kalman-estimator kalman-filter kalman-filtering kalman-tracking kalmanfilter localization montecarlo particle-filter robot robotics

Last synced: 16 Dec 2024

https://github.com/mjahmadee/machine-learning-and-fault-detection

Machine Learning and Fault Detection

adaline bayes data-processing k-nearest-neighbours kernel kernel-density kernel-density-estimation knn linear-classifier madaline parzen perceptron preprocessing regression widrow-hoff

Last synced: 12 Nov 2024

https://github.com/wlandau/stantargets-talk

Presentation about the {stantargets} R package

bayes bayesian bayesian-statistics pipeline reproducibility reproducible-research targets targets-pipeline

Last synced: 22 Dec 2024

https://github.com/rensvandeschoot/plausible-parameter-space

The Plausible Parameter Space (PPS) Shiny App is designed to help users define their priors in a linear regression with two regression coefficients.

bayes bayesian-inference posterior-probability prior shiny-apps

Last synced: 22 Nov 2024

https://github.com/lucidfrontier45/anybayes

A Bayesian Classifier with Any Distributions

bayes machine-learning naive-bayes-classifier python

Last synced: 08 Nov 2024

https://github.com/arthurkushman/total_probability

Total probability + Thomas Bayes, Bernoulli distribution formulas

bayes bernulli formulas math mathematics php probability

Last synced: 22 Dec 2024

https://github.com/greatarcstudios/bayesian-stats-workshop

A Bayesian Statistics workshop presented to the University of Toronto 2021 ISSC (Independent Summer Statistics Community). It covers the basics of generative modelling, prior setting, model evaluation, and Stan programming. Check the completed folder for the finished files.

bayes bayesian-inference intro python stan

Last synced: 21 Dec 2024