A Bayesian Analysis Toolkit in Julia
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Updated
Jun 28, 2024 - Julia
A Bayesian Analysis Toolkit in Julia
EIT-EBM
Metrically Scaled Monocular Depth Estimation through Sparse Priors for Underwater Robots
A Matlab toolbox for sampling inverse problems with complex priors
The Plausible Parameter Space (PPS) Shiny App is designed to help users define their priors in a linear regression with two regression coefficients.
Histogram based classification and prediction of annual rainfall from Kerala dataset
🚫 ↩️ A document that introduces Bayesian data analysis.
Code repository of the paper "BooVAE: Boosting Approach for Continual Learning of VAE" published at NeurIPS 2021. https://arxiv.org/abs/1908.11853
Binary and multinomial probit regression using I-priors
A NumPy implementation of Lee et al., Deep Neural Networks as Gaussian Processes, 2018
Low level implementation of various type of Linear Regression and Logistic Regression with python and Numpy
Library for fast computation of log-likelihoods and derivatives of multivariate prior distributions
An Innovative Salient Object Detection Using Center-Dark Channel Prior
Clustering using Gaussian mixture modeling for species delimitation and classification
A Bayesian model for click, position, and impression data
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