Name: Ruijun Shi
Type: User
Company: Beijing Normal University
Bio: Master of Beijing Normal University, Major in Astrophysics
Interests: Gravitational wave astronomy, Gravitational wave data analysis, AI for science
Location: **/China
Ruijun Shi's Projects
Performing parameter estimation on gravitational wave data with machine learning
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
A set of extension codes, utilities, and scripts for the enterprise PTA analysis framework.
Python package for calculating pulsar timing array sensitivity curves.
Ongoing research training transformer language models at scale, including: BERT & GPT-2
A simulation-based Inference (SBI) library designed to perform analysis on a wide class of gravitational wave signals
Searching for dark matter around black holes
calculate GW waveform