Files in enweg/quickbnnr
Quick way to implement Bayesian Neural Networks in R and estimating these using Julia's Turing
.Rbuildignore
.gitignore
DESCRIPTION
LICENSE
LICENSE.md
NAMESPACE
R/layer_dense.R
R/layer_recurrent.R
R/quickbnnr.R
R/utils.R
README.Rmd
README.md
bibliography.bib
man/BDense.Rd
man/BNN.Rd
man/BRNN.Rd
man/Chain.Rd
man/DenseForcePosFirstWeight.Rd
man/DenseOrderedBias.Rd
man/DenseOrderedWeights.Rd
man/clean_parameters.Rd
man/dot-summary.Rd
man/dot-tensor_embed.Rd
man/estimate.Rd
man/figures/README-unnamed-chunk-10-1.png
man/figures/README-unnamed-chunk-11-1.png
man/figures/README-unnamed-chunk-12-1.png
man/figures/README-unnamed-chunk-14-1.png
man/figures/README-unnamed-chunk-15-1.png
man/figures/README-unnamed-chunk-17-1.png
man/figures/README-unnamed-chunk-19-1.png
man/get_random_symbol.Rd
man/make_net.Rd
man/ndims.Rd
man/predict.quickbnnr.estimate.Rd
man/quickbnnr_seed.Rd
man/quickbnnr_setup.Rd
man/summary.quickbnnr.estimate.Rd
man/tensor_embed.Rd
quickbnnr.Rproj
test/test_workflow.R
