Pinned Repositories
abc
Approximate Bayesian Computation
CHIP8.jl
cookiecutter-R-package
cv
GradDescent.jl
Gradient Descent optimizers for Julia
id_dynamics_project
model_deployment
Template code for deploying models
sci_cpp_bk
Programs for Guide to Scientific Computing in C++
jacobcvt12's Repositories
jacobcvt12/cookiecutter-R-package
jacobcvt12/GradDescent.jl
Gradient Descent optimizers for Julia
jacobcvt12/CHIP8.jl
jacobcvt12/cv
jacobcvt12/model_deployment
Template code for deploying models
jacobcvt12/BayesNN.jl
Bayesian Neural Networks fit with Variational Inference
jacobcvt12/bib.jl
Bibtex parser in julia
jacobcvt12/BNMF.jl
Bayesian Non-negative Matrix Factorization
jacobcvt12/Chains.jl
A common MCMC format for Julia
jacobcvt12/CoGAPS-growth
jacobcvt12/dotfiles
Some dotfiles
jacobcvt12/hmc-julia
Example Hamiltonian Monte Carlo samplers in Julia
jacobcvt12/ISL
Lab and homeworks from ISL implemented in Julia
jacobcvt12/julia
The Julia Language: A fresh approach to technical computing.
jacobcvt12/ldp
Local Dirichlet Processes in R
jacobcvt12/learn_vb
Code for a few models implemented with variational approximation
jacobcvt12/Mazzone2024
jacobcvt12/METADATA.jl
Metadata for registered Julia packages.
jacobcvt12/ml
jacobcvt12/nn-julia
Implement some neural networks in Julia
jacobcvt12/projectoR
jacobcvt12/python-teaching
Discuss Python Sharing
jacobcvt12/reparam
Reparameterization Trick for VI
jacobcvt12/scalable_bayes
Lecture notes and example code for Scalable Bayesian Methods
jacobcvt12/sp-julia
Prior Processes using Julia
jacobcvt12/stan
Learning Stan
jacobcvt12/tabs-spaces-post
Code source behind the blog post "Developers who use spaces make more money than those who use tabs"
jacobcvt12/tcnj_vi
jacobcvt12/torchVI
Implementing a variety of Variational Inference approaches with PyTorch
jacobcvt12/VB_Presentation
Variational Bayes Talk for Fertig Lab