KouroshAlinaghi/EPS-CA0

A category-guessing model, trained with bayes theorem

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mckelvym/agv-sim-cmps523

Autonomous Ground Vehicle (AGV) simulator project for Computational Basis of Intelligence (CMPS 523)

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andrewcparnell/TSDA

A 4 day course on Time Series Data Analysis using R

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Maicius/DataMiningAlgorithm

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

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bayesplay/bayesplay

The Bayesian playground. A package for learning Bayes factors

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mkomod/survival.svb

Variational Bayes for High-Dimensional Survival Analysis https://arxiv.org/abs/2112.10270

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aghilissen/FakeJobDetection

...............Work in progress................ Flatiron school capstone project. This project uses NLP techniques (TF-IDF, Word Analysis, Bag of Words) to predict the legitimacy of job ads. It features different statistical models such as Naive Bayes, Random Forest and XGBoost and addresses the class imbalance using the SMOTE.

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viniceosm/recosmart

recommend smartphone

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TianZonglin/NativeBayes 📦

This research makes full use the characteristics of solid mathematical foundation and stable classification efficiency of naive bayes classification method. It proposes a semantic Web service classification method based on the theory of naive bayes. It elaborates the concrete process of how to use the three stages of bayesian classification to classify the semantic Web services in the consideration of service interface and execution capacity.

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zeusm9/Malware-Analysis-in-Android-Operating-System

Malware Analysis in Android Operating System using machine learning techniques

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ligb1023561601/NaiveBayesClassifier

Implementation of Naive Bayes Classifier

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gisner/BayesianNW

Found this old C++ Bayesian Network program I wrote as part of an AI class back in 2012

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Zephery/weiboanalysis 📦

微博情感分析，文本分类，毕业设计项目

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learnB4SS/learnB4SS

Workshop materials for learnB4SS

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lucidfrontier45/anybayes

A Bayesian Classifier with Any Distributions

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troiwill/py-histogram-filter

Provides a base class and tools for implementing a Bayes Histogram Filter.

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tiagoboeing/machine-learning

📦 Python, Electron + ReactJS | A machine learning project to identify Simpsons characters using OpenCV to extract characteristics and Naive Bayes with Sklearn to train the model.

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petzi53/bayesian-fun

Personal notes & trials during reading "Bayesian Statistics the Fun Way" by Kurt Will

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sebastiansauer/afd-btw21-analyse

Analyse des Wahlerfolgs der AfD bei der BTW 21 als methodisches Tutorial

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jingpeicomp/product-category-predict

商品类目预测，使用 Spring Boot 开发框架和 Spark MLlib 机器学习框架，通过 TF-IDF 和 Bayes 算法，训练出一个商品类目预测模型。该模型可以根据商品名称自动预测出商品类目。项目对外提供 RESTFul 接口。

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petzi53/bayesian-thinking

Personal note & trials during reading "An Introduction to Bayesian Thinking"

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ruteee/DetectionCausalRelationshipsTimeSeries

Code for paper "A method for detecting causal relationships between industrial alarm variables using Transfer entropy and K2-Algorithm"

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kmob/Working-With-Stan

Stan Model use for Rate $\theta$ for a Binary Process

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kamath-abhijith/Bayes_Classifier

Implementation of Bayes Classifier using MLE and GMM estimation using EM.

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fweber144/shinybrms

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

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guhjy/vashr Fork of mengyin/vashr

An R package for variance adaptive shrinkage

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guhjy/unified_fdr Fork of xqwen/unified_fdr

repo for unified FDR paper

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guhjy/useful Fork of nbommakanti/useful

collection of useful links

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guhjy/tutorial Fork of BayesianTestsML/tutorial

Tutorial on Bayesian tests for Machine Learning

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guhjy/tsbcf Fork of jestarling/tsbcf

R package for Targeted Smooth Bayesian Causal Forests (Starling 2019).

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guhjy/tidyposterior Fork of tidymodels/tidyposterior

Bayesian comparisons of models using resampled statistics

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guhjy/tidybayes.rethinking Fork of mjskay/tidybayes.rethinking

R package to allow tidybayes to work with the rethinking package

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guhjy/Statistical_Rethinking_with_brms_ggplot2_and_the_tidyverse Fork of ASKurz/Statistical_Rethinking_with_brms_ggplot2_and_the_tidyverse

The bookdown version lives here: https://bookdown.org/connect/#/apps/1850/access

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guhjy/tidybayes Fork of mjskay/tidybayes

Bayesian analysis + tidy data + geoms (R package)

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guhjy/Statistical-Rethinking-with-Python-and-PyMC3 Fork of aloctavodia/Statistical-Rethinking-with-Python-and-PyMC3

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

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guhjy/stan_examples

Models run with rstan for bayesian estimation

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guhjy/stan-book Fork of avehtari/stan-book

Repository for book "Bayesian Statistics Using Stan", text files in Rmarkdown, plus example data, Stan models, and scripts

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guhjy/STAN-Bayesian

Bayesian Techniques with STAN

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guhjy/sparsebn Fork of itsrainingdata/sparsebn

Software for learning sparse Bayesian networks

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guhjy/shinystan Fork of sambrilleman/shinystan

shinystan R package

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guhjy/shinyApps Fork of nicebread/shinyApps

Shiny app: Robustness analysis for Bayes factors: Two sample t test

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guhjy/sBayesRF Fork of EoghanONeill/sBayesRF

Safe-Bayesian Random Forest. This package is an attempt to implement the Safe-Bayesian Random Forest described by Quadrianto and Ghahramani (2015).

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guhjy/safeBart Fork of EoghanONeill/safeBart

safeBART is an implementation of Bayesian Additive Regression Trees using importance sampling. This combines aspects of BART-BMA (Hernandez et al. 2018) and safe-Bayesian Random Forests (Quadrianto and Ghahramani 2015).

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guhjy/rethinking Fork of rmcelreath/rethinking

Statistical Rethinking course and book package

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guhjy/rBMC Fork of yanyachen/rBMC

Bayesian Model Combination for optimizing AUC

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guhjy/rBayesianOptimization Fork of yanyachen/rBayesianOptimization

Bayesian Optimization of Hyperparameters

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guhjy/pymc3 Fork of pymc-devs/pymc

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

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guhjy/protoABC Fork of AnthonyEbert/protoABC

R-package protoABC: Flexible approach to Approximate Bayesian Computation (ABC)

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guhjy/modelselection_tutorial Fork of avehtari/modelselection

Tutorial on model assessment, model selection and inference after model selection

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guhjy/mlss2015_bnp_tutorial Fork of tbroderick/mlss2015_bnp_tutorial

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guhjy/mlrMBO Fork of mlr-org/mlrMBO

Toolbox for Bayesian Optimization and Model-Based Optimization in R

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guhjy/metabayes Fork of mjskay/metabayes

R package for specifying Bayesian models (JAGS, Stan) as R code

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guhjy/loo Fork of jrnold/loo

loo R package: leave-one-out cross-validation and WAIC for fitted Bayesian models

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guhjy/LatentMediation Fork of lit777/LatentMediation

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guhjy/jasptools Fork of jasp-stats/jaspTools

R package delivered with jasp-desktop that simplifies developing and testing analyses

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guhjy/Guided-BAC Fork of jantonelli111/Guided-BAC

Software to implement guided Bayesian adjustment for confounding, which estimates the causal effect in a main study when additional data is available in a validation study

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guhjy/greta Fork of greta-dev/greta

simple and scalable statistical modelling in R

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guhjy/GGMnonreg Fork of donaldRwilliams/GGMnonreg

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guhjy/GGMprojpred Fork of donaldRwilliams/GGMprojpred

Bayesian graphical models estimated with projection predictive selection

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guhjy/flashr Fork of stephenslab/flashr

R package for Empirical Bayes Factor Analysis.

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guhjy/ezStan Fork of mike-lawrence/ezStan

An R package containing helper functions for Stan

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guhjy/estimate Fork of easystats/modelbased

:chart_with_upwards_trend: Estimate effects, contrasts and means based on statistical models

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guhjy/EMJMCMC2016 Fork of aliaksah/EMJMCMC2016

Bayesian model configuration, selection and averaging in complex regression contexts

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guhjy/DoublyRobustHD Fork of jantonelli111/DoublyRobustHD

R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods

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guhjy/Doing-Bayesian-Data-Analysis-in-brms-and-the-tidyverse Fork of ASKurz/Doing-Bayesian-Data-Analysis-in-brms-and-the-tidyverse

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guhjy/diff-means-half-dozen-ways Fork of andrewheiss/diff-means-half-dozen-ways

Run standard t-tests, simulations, and Bayesian difference in means tests with R and Stan

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guhjy/cvBMS Fork of JoramSoch/cvBMS

SPM8/12-compatible MATLAB implementation of "Soch et al., NeuroImage, 2016".

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guhjy/cvBMA Fork of JoramSoch/cvBMA

SPM8/12-compatible MATLAB implementation of "Soch et al., NeuroImage, 2017".

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guhjy/CalvinBayes Fork of CalvinData/CalvinBayes

R package for doing bayesian data analysis

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guhjy/build-a-bayes Fork of joachimvandekerckhove/build-a-bayes

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guhjy/brms Fork of paul-buerkner/brms

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

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guhjy/brms_vs_rstanarm_aarug_0418 Fork of alice1020/brms_vs_rstanarm_aarug_0418

Ann Arbor R User Group April meeting. Bayesian Computing in R with brms and rstanarm

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guhjy/brmstools Fork of mvuorre/brmstools

Helper functions for brmsfit objects

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guhjy/brms_ord Fork of ntjames/brms_ord

Model continuous outcomes using Bayesian cumulative probability models with brms

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guhjy/BNPMediationProject Fork of mjdaniels/BNPMediationProject

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guhjy/bnstruct Fork of adw96/bnstruct

R package for Bayesian Network Structure Learning

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guhjy/bmlm Fork of mvuorre/bmlm

Bayesian multilevel mediation models in R

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guhjy/BMSMC Fork of javenrflo/BMSMC

R Package to perform analyses described in "Bayesian Multiple Comparisons and Model Selection" by Andrew A. Neath, Javier E. Flores, and Joseph E. Cavanaugh

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guhjy/blme Fork of vdorie/blme

Bayesian Linear Mixed Effect Models

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guhjy/BLasso Fork of lijinsgithub/BLasso

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guhjy/blim Fork of vankesteren/blim

Univariate Bayesian Linear Modelling

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guhjy/BGGM Fork of donaldRwilliams/BGGM

Bayesian Gaussian Graphical Models

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guhjy/BF_TOST Fork of Lakens/BF_TOST

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guhjy/BF-vs-p Fork of amscheel/BF-vs-p

A quick investigation on why Bayes factors and p-values are correlated and why p-values are uniformly distributed under H0

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guhjy/bfdr Fork of xqwen/bfdr

R code for Bayesian FDR control

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guhjy/BDA_R_demos Fork of avehtari/BDA_R_demos

Bayesian Data Analysis demos for R

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guhjy/BDA-singalong Fork of szego/BDA-singalong

A sing-along for the book Bayesian Data Analysis using brms

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guhjy/bcfbma Fork of EoghanONeill/bcfbma

Bayesian Causal Forests using Bayesian Model Averaging (BCF-BMA)

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guhjy/bayes_R2 Fork of jgabry/bayes_R2

Materials for paper 'R-squared for Bayesian regression models' by Gelman, Goodrich, Gabry, and Ali

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guhjy/bayesplot Fork of stan-dev/bayesplot

bayesplot R package for plotting Bayesian models

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guhjy/bayes_fit_sim Fork of Rjacobucci/bayes_fit_sim

Compare fit indices in bayesian sem for model selection

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guhjy/bayes_factors Fork of lindeloev/bayes_factors

How to compute Bayes factors using lm, lmer, BayesFactor, brms, and JAGS/stan/pymc3

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guhjy/bayesMeasurementError Fork of jwb133/bayesMeasurementError

R and JAGS code for https://doi.org/10.1177/0962280216667764

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guhjy/bayestestR Fork of easystats/bayestestR

:ghost: Utilities for analyzing Bayesian models and posterior distributions

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guhjy/BayesMed Fork of MicheleNuijten/BayesMed

Default Bayesian hypothesis tests for correlation, partial correlation, and mediation

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guhjy/BayesLMMTutorial Fork of vasishth/BayesLMMTutorial

Tutorial files to accompany Sorensen, Hohenstein, and Vasishth paper: http://www.ling.uni-potsdam.de/~vasishth/statistics/BayesLMMs.html

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guhjy/Bayesian-selective-inference Fork of snigdhagit/Bayesian-selective-inference

R code for Bayesian selective inference

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guhjy/bayesian_notes Fork of jrnold/bayesian_notes

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guhjy/Bayesian_Network_Adventures Fork of rjshanahan/Bayesian_Network_Adventures

Bayesian Networks, Causal Inference, Structure Learning, Classification, Visualisations

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guhjy/BayeSens Fork of cbrown5/BayeSens

Prior sensitivity analysis for Bayesian MCMC models

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