GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matr...
翻译 - GTSAM是C ++类的库，使用因子图和贝叶斯网络作为基础计算范例而不是稀疏矩阵，在机器人技术和视觉中实现平滑和映射（SAM）。
A Matlab package for Bayes Factor statistical analysis
R package for Empirical Bayes Factor Analysis.
Shiny app: Robustness analysis for Bayes factors: Two sample t test
An R package for Bayes Factor Design Analysis
Bayes Factors for Informative Hypotheses
Bayesian Gaussian Graphical Models
BayesVarSel: R package to calculate Bayes factors, model choice and variable selection in linear models
How to compute Bayes factors using lm, lmer, BayesFactor, brms, and JAGS/stan/pymc3
Repo for "An empirically-driven guide on using Bayes Factors for M/EEG decoding"
Performance analysis of predictive (alpha) stock factors
Code repository for Think Bayes.
Collapsed Variational Bayes
Naive Bayes-based Context Extension
Pytorch implementation of GRU-ODE-Bayes
Fama French 5 Factors model.
Variational Bayes HMM over x-vectors diarization
Tensor ring low-rank factors (AAAI 2019)
Practical assignments of the Deep|Bayes summer school 2019
翻译 - Deep | Bayes暑期学校2019的实际作业
plugin to add Impact Factors in Zotero database
Online variational Bayes for latent Dirichlet allocation (LDA)
Implementation of variational Bayes inference algorithms
🐈🐈🐈🐈: tools for working with categorical variables (factors)
Gaussian Naive Bayes (GaussianNB) classifier
Implements Naive Bayes and Gaussian Naive Bayes Machine learning Classification algorithms from scratch in Python.