A Bayesian model for click, position, and impression data
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Updated
Aug 13, 2017 - Scala
A Bayesian model for click, position, and impression data
Clustering using Gaussian mixture modeling for species delimitation and classification
An Innovative Salient Object Detection Using Center-Dark Channel Prior
Library for fast computation of log-likelihoods and derivatives of multivariate prior distributions
Low level implementation of various type of Linear Regression and Logistic Regression with python and Numpy
A NumPy implementation of Lee et al., Deep Neural Networks as Gaussian Processes, 2018
Binary and multinomial probit regression using I-priors
Code repository of the paper "BooVAE: Boosting Approach for Continual Learning of VAE" published at NeurIPS 2021. https://arxiv.org/abs/1908.11853
🚫 ↩️ A document that introduces Bayesian data analysis.
Histogram based classification and prediction of annual rainfall from Kerala dataset
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
A Matlab toolbox for sampling inverse problems with complex priors
Metrically Scaled Monocular Depth Estimation through Sparse Priors for Underwater Robots
A Bayesian Analysis Toolkit in Julia
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