Name: Large Scale Scientific Simulation Systematics GAN
Type: Organization
Bio: Work toward a novel approach to precise handling of systematic differences between simulation and reality using GANs
Location: Brookhaven National Lab
Large Scale Scientific Simulation Systematics GAN's Projects
Release detailed information for the benchmarking algorithms
Full Detector Simulation of Heavy-Ion Collisions with Diffusion Models
Prepare CelebA Dataset for Unpaired Image-to-Image Translation
Collision image translation
Files to build various containers for LS4GAN
Media files for the LS4GAN projects
Publicly available dataset for ML and AI program on real-time data reduction and learning at Tbps rate for the sPHENIX experiment
LS4GAN Primary Python Package
LS4GAN top github web pages
Image-to-Image Translation in PyTorch
Supervised Toyzero image translation with Transformer
A collection of functions to handle toyzero dataset
Setup for providing initial toy fodder for LS4GAN development
Code accompanying UVCGAN paper
UVCGAN v2: An Improved Cycle-Consistent GAN for Unpaired Image-to-Image Translation
Unpaired Image Translation for Neutrino Experiements