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1. nuGAN nuGAN Public

   A Deep Learning Emulator for Cosmic Web Simulations with Massive Neutrinos

   Python

2. cola-to-nbody cola-to-nbody Public

   A suite of codes and pre-trained convolutional neural net models to learn the mapping between the COLA and N-Body simulations of the Universe

   Jupyter Notebook

3. IACT IACT Public

   Simulations investigating relativistic image doubling (RID) in imaging atmospheric Cherenkov telescopes, arising from superluminal air showers triggered by high-energy cosmic gamma rays.

   Jupyter Notebook

4. RIDs-in-WCDs RIDs-in-WCDs Public

   Simulation and analysis code exploring relativistic image doubling effects in water Cherenkov detectors (WCDs) and atmospheric particle showers.

   Python

5. map2map map2map Public

   Forked from eelregit/map2map

   A neural network emulator to transform field data

   Python

6. safe safe Public

   Forked from datamol-io/safe

   A single model for all your molecular design tasks

   Python