Name: Michael J. Williams
Type: User
Company: University of Portsmouth
Bio: Research Fellow at the Institute of Cosmology & Gravitation, University of Portsmouth
Twitter: michael_j_will
Blog: https://mj-will.github.io/
Michael J. Williams's Projects
Repository for work on MSci Project focusing on accelerating particular aspects of gravitational wave parameter estimation.
A python library for visualizing Artificial Neural Networks (ANN)
Remove glitches using Bayesian inference of a quasi-physical model
Astronomy and astrophysics core library
Pytorch implementation of the basic idea presented in https://arxiv.org/abs/2002.07101
Implementation of checkered CNN for BBH classifcation
Neural networks for analysing classical music
Make some beautiful corner plots
Parallel nested sampling
Benchmarking normalising flows
Returns posterior estimates on GW waveform parameters given a GW waveform buried in noise.
A conda-smithy repository for glasflow.
Visualizing gravitational-wave systems using Python
Hadron spectroscopy data analysis
An assortment of scripts to help you get started in machine learning
Machine Learning for nuclear physics
Examples of code for training ML algorithms
nessai: Nested Sampling with Artificial Intelligence
Interface and plugin for using nessai in bilby
Environment repository with nessai for use with Binder
An interactive example of using nessai - https://github.com/mj-will/nessai
Scripts for different experiments with nessai
Reanalysis of GWTC events using nessai
Importance nested sampling with normalising flows
Models for use with nessai