Skip to content

Official code for the paper "Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network"

Notifications You must be signed in to change notification settings

tristandeleu/jax-jsp-gfn

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1 Commit
 
 
 
 
 
 
 
 
 
 

Repository files navigation

JSP-GFN

Installation

To avoid any conflict with your existing Python setup, we suggest to work in a virtual environment:

python -m venv venv
source venv/bin/activate

Follow these instructions to install the version of JAX corresponding to your versions of CUDA and CuDNN.

pip install -r requirements.txt

Example

python train.py --batch_size 256 --lr 1e-4 --params_num_samples 64 --model lingauss_diag --artifact ...

About

Official code for the paper "Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network"

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published