Clustering using Gaussian mixture modeling for species delimitation and classification

A Bayesian model for click, position, and impression data

Low level implementation of various type of Linear Regression and Logistic Regression with python and Numpy

Histogram based classification and prediction of annual rainfall from Kerala dataset

Library for fast computation of log-likelihoods and derivatives of multivariate prior distributions

Binary and multinomial probit regression using I-priors

PriorDB aims to make choosing a prior for a Bayesian model easier

On the propriety of the power prior for general models

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

EIT-EBM

Code repository of the paper "BooVAE: Boosting Approach for Continual Learning of VAE" published at NeurIPS 2021. https://arxiv.org/abs/1908.11853

A NumPy implementation of Lee et al., Deep Neural Networks as Gaussian Processes, 2018

[AAAI-2024] Structural Information Guided Multimodal Pre-training for Vehicle-centric Perception, Xiao Wang, Wentao Wu, Chenglong Li, Zhicheng Zhao, Zhe Chen, Yukai Shi, Jin Tang

A Matlab toolbox for sampling inverse problems with complex priors

An Innovative Salient Object Detection Using Center-Dark Channel Prior

Metrically Scaled Monocular Depth Estimation through Sparse Priors for Underwater Robots

🚫 ↩️ A document that introduces Bayesian data analysis.

A Bayesian Analysis Toolkit in Julia

VPoser: Variational Human Pose Prior