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26 search results found

Bda_course_aalto ⭐ 2,099

Bayesian Data Analysis course at Aalto

Tikz Bayesnet ⭐ 638

TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.

Awesome Agi Cocosci ⭐ 225

An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.

Master Thesis Bayesiancnn ⭐ 197

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Bml Course ⭐ 62

Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille

Bayesian Surprise ⭐ 52

Bayesian Weighting for De-Biasing Thematic Maps

Bayes Vis Paper ⭐ 49

'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)

Stats331 ⭐ 42

Lecture notes for an introductory undergraduate course in Bayesian Inference

Bayesian multilevel mediation models in R

Stats Shortcourse ⭐ 41

The statistics short course is both a resource and survey of the areas of probability and statistics that are foundational for the data science immersive at Galvanize.

Nonparametric Bayes ⭐ 33

📓 Non-parametric Bayesian Inference for Conservation Decisions

Computational_statistics ⭐ 25

Course materials for Computational Statistics, PhD course at EMAp.

Toolbox for the estimation of Bayesian Global Vector Autoregressions in R.

Ai Cheat Sheet ⭐ 19

cheat sheet for Artificial Intelligence

Bdaecology ⭐ 13

Bayesian Data Analysis in Ecology with R, BUGS, and Stan

Herding Paper ⭐ 11

Optimally-weighted herding is Bayesian Quadrature

Deep Learning Uncertainty ⭐ 8

My master's thesis project

Statistical Models With Variational Methods ⭐ 8

Bachelor Thesis - Degree in Computer science and mathematics. University of Granada.

Mcmc Estimation Of Stochastic Differential Equations Papers ⭐ 8

A list (quite disorganized for now) of papers tackling the Bayesian estimation of Ito processes (and their discrete time version)

Introduction To Beast2 ⭐ 7

This is a simple introductory tutorial to help you get started with using BEAST2 and its accomplices.

Hierarchical Kernels ⭐ 7

Kernels for Bayesian Optimization in Conditional Parameter Spaces

Bayesian Statistics ⭐ 7

Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.

Stan Book ⭐ 6

Repository for book "Bayesian Statistics Using Stan", text files in Rmarkdown, plus example data, Stan models, and scripts

my master's thesis

Gaussianprocesses ⭐ 5

Modern Gaussian Processes: Scalable Inference and Novel Applications

Cognate Beginnings ⭐ 5

A repository for the "Cognate beginnings to bilingual lexical acquisition" study

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1-26 of 26 search results

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