Dr. Hunter Gabbard's Projects
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.
A Tensorflow(v1.4) implementation of Capsule Networks Applied towards GW Classification and Paraemter Estimation (Dynamic Routing Between Capsules , https://arxiv.org/abs/1710.09829)
Invertible neural network for gravitational wave parameter estimation
Pipeline used for classifying BBH, NSBH, and BNS signals in LIGO data. Code used for "Matching Matched Filtering" paper.
Codes used during my placement at craft prospect
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Deep neural network for depth and intensity predictions using a single pixel camera.
repository for playing around with different generative adversarial networks
Returns posterior estimates on GW waveform parameters given a GW waveform buried in noise.
Paper showing the use of generative adversarial networks applied towards full posterior estimate parameter estimation.
A hands-on machine learning course for physics and astronomy PhD students at the University of Glasgow. Courses designed by John Armstrong and Hunter Gabbard.
Deep learning tools for gravitational wave data analysis and detection based on PyCBC and Keras.
My personal website homepage (in development).
Inference Methods for Gravitational Wave Data Analysis - My PhD Thesis
An assortment of scripts to help you get started in machine learning
Keras implementation of Deep Convolutional Generative Adversarial Networks for aLIGO parameter estimation
General LIGO machine learning repository
Matching matched filtering with deep learning in gravitational-wave astronomy
This is a test of the mkdocs webpage maker
A set of programs for solving moody's financial problems.
Demonstration of VItamin code for OzGrav
This repository contains the code snippets and hybrid models from the DARPA AI-Assisted Climate Tipping Point Modeling (ACTM) program.
Pipeline to search for couplings and/or trends between different degrees of freedom within the LIGO detectors. Fulbright Fellowship detector characterization project.
Python CBC Tools