jacobcvt12

cookiecutter-R-package

GradDescent.jl

Gradient Descent optimizers for Julia

CHIP8.jl

cv

model_deployment

Template code for deploying models

BayesNN.jl

Bayesian Neural Networks fit with Variational Inference

bib.jl

Bibtex parser in julia

BNMF.jl

Bayesian Non-negative Matrix Factorization

Chains.jl

A common MCMC format for Julia

CoGAPS-growth

dotfiles

Some dotfiles

hmc-julia

Example Hamiltonian Monte Carlo samplers in Julia

ISL

Lab and homeworks from ISL implemented in Julia

julia

The Julia Language: A fresh approach to technical computing.

ldp

Local Dirichlet Processes in R

learn_vb

Code for a few models implemented with variational approximation

Mazzone2024

METADATA.jl

Metadata for registered Julia packages.

ml

nn-julia

Implement some neural networks in Julia

projectoR

python-teaching

Discuss Python Sharing

reparam

Reparameterization Trick for VI

scalable_bayes

Lecture notes and example code for Scalable Bayesian Methods

sp-julia

Prior Processes using Julia

stan

Learning Stan

tabs-spaces-post

Code source behind the blog post "Developers who use spaces make more money than those who use tabs"

tcnj_vi

torchVI

Implementing a variety of Variational Inference approaches with PyTorch

VB_Presentation

Variational Bayes Talk for Fertig Lab