prior

There are 0 repository under prior topic.

nghorbani / human_body_prior
VPoser: Variational Human Pose Prior
vae prior human motion pose-estimation pose
Language:Jupyter Notebook 813
bat / BAT.jl
A Bayesian Analysis Toolkit in Julia
julia statistics bayesian-inference bayesian-statistics mcmc machine-learning prior posterior
Language:Julia 213
m-clark / bayesian-basics
:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
bayesian-inference bayesian-methods stan rstan r bayesian-statistics bayesian mcmc hamiltonian-monte-carlo gibbs posterior-probability prior likelihood metropolis-hastings posterior-predictive regression-models bayesian-analysis bayesian-data-analysis brms rstanarm
Language:Stan 83
ebnerluca / uw_depth
Metrically Scaled Monocular Depth Estimation through Sparse Priors for Underwater Robots
depth estimation metric monocular prior robot scaled sparse underwater
Language:Python 37
ChunbiaoZhu / ACVR2017
An Innovative Salient Object Detection Using Center-Dark Channel Prior
saliency-detection rgb science logo-iccv china iccv dark channel dataset prior center salient object-detection object-tracking object-proposals rgbd
Language:HTML 22
sippi
cultpenguin / sippi
A Matlab toolbox for sampling inverse problems with complex priors
bayesian inversion prior probabilistic sampling
Language:MATLAB 19
Event-AHU / VehicleMAE
[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
clip large-langauge-model large-modal mae pre-training prior vehicle-attribute-recognition vehicle-detection vehicle-fine-grained-classification vehicle-perceptron vehicle-segmentation vehicle-tracking vision-text-contrastive
Language:Python 19
MB-29 / neural-Gaussian-process
A NumPy implementation of Lee et al., Deep Neural Networks as Gaussian Processes, 2018
bayesian-inference deep-learning numpy neural-network prior infinite-width lee gaussian-process regression google-brain neurips neurips-2018
Language:Python 16
AKuzina / BooVAE
Code repository of the paper "BooVAE: Boosting Approach for Continual Learning of VAE" published at NeurIPS 2021. https://arxiv.org/abs/1908.11853
boosting continual-learning deep-learning generative-model prior pytorch vae variational-autoencoder
Language:Python 12
akarshp28 / EIT-EBM
EIT-EBM
deep-learning ebm eit electrical-impedance-tomography energy-based-model nerual-network partial-differential-equations pde pde-solver physics-informed-neural-networks pinn prior
Language:Jupyter Notebook 11
n-kall / priorDB
PriorDB aims to make choosing a prior for a Bayesian model easier
bayesian brms prior pymc rstanarm stan
Language:TeX 3
Rensvandeschoot / Plausible-Parameter-Space
The Plausible Parameter Space (PPS) Shiny App is designed to help users define their priors in a linear regression with two regression coefficients.
bayes bayesian-inference posterior-probability prior shiny-apps
Language:R 3
maxbiostat / propriety_power_priors
On the propriety of the power prior for general models
statistics prior
Language:R 2
haziqj / iprobit
Binary and multinomial probit regression using I-priors
binary multinomial probit regression classification rkhs kernel gaussian process gpr prior
Language:R 1
markjolah / PriorHessian
Library for fast computation of log-likelihoods and derivatives of multivariate prior distributions
log-likelihood prior
Language:C++ 1
chakpli / bayesian
A Bayesian model for click, position, and impression data
bayesian poisson labels hdr naive-bayes-classifier multinomial prior maximum-likelihood
Language:Scala 0
justincbagley / GaussClust
Clustering using Gaussian mixture modeling for species delimitation and classification
belief clustering-algorithm gaussian-mixture-models gmm prior sensitivity-analysis species-delimitation
Language:Shell 0
Reza-Marzban / Linear_and_Logistic_regression
Low level implementation of various type of Linear Regression and Logistic Regression with python and Numpy
classification linear-regression logistic-regression machine-learning prior regression
Language:Python
SnehaShukla937 / Probability-Distribution-based-classification
Histogram based classification and prediction of annual rainfall from Kerala dataset
histogram prior classification posterior-probability binaryclassification
Language:Jupyter Notebook