Dr. Hunter Gabbard (hagabbar)

hagabbar

Geek Repo

Company:Blue Sky Innovators

Location:Arlington, VA

Home Page:hagabbar.github.io

Twitter:@gw_hunter

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Dr. Hunter Gabbard's repositories

VItamin

Hyper-fast gravitational wave posterior parameter estimation using variational inference. Code used for "Bayesian parameter estimation" paper. Note: This is being repackaged and moving to another repository soon (hagabbar/vitamin_b).

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vitamin_c

This will be the first official public release of the VItamin code base. VItamin is a python package for producing fast gravitational wave posterior samples.

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cnn_matchfiltering

Pipeline used for classifying BBH, NSBH, and BNS signals in LIGO data. Code used for "Matching Matched Filtering" paper.

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Glasgow_Machine_Learning_Course-2019

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.

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cINNamon

Invertible neural network for gravitational wave parameter estimation

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GenNet

Returns posterior estimates on GW waveform parameters given a GW waveform buried in noise.

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matching_cnn_paper

Matching matched filtering with deep learning in gravitational-wave astronomy

hagabbar.github.io

My personal website homepage (in development).

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intro2ml

An assortment of scripts to help you get started in machine learning

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keras-dcgan

Keras implementation of Deep Convolutional Generative Adversarial Networks for aLIGO parameter estimation

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OzGrav_demo

Demonstration of VItamin code for OzGrav

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Pangeo-for-AI-assisted-Climate-Tipping-point-Modelling

This repository contains the code snippets and hybrid models from the DARPA AI-Assisted Climate Tipping Point Modeling (ACTM) program.

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pycbc_detection_statistic

Attempt during Fulbright Fellowship to make neural network GW classification pipeline.

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VAE_tutorial

Tutorial on variational autoencoders that I've heavily adapted from Google TensorFlow website.

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VItamin_paper

Estimating Bayesian parameter estimation using conditional variational autoencoders.

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VItamin_technical_paper

This is a technical follow-up, to the "OG" VItamin paper.

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capsule-networks

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)

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craft_prospect

Codes used during my placement at craft prospect

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DCGAN-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

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deep_single_pixel

Deep neural network for depth and intensity predictions using a single pixel camera.

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GenNet_paper

Paper showing the use of generative adversarial networks applied towards full posterior estimate parameter estimation.

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IMGWDA

Inference Methods for Gravitational Wave Data Analysis - My PhD Thesis

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mkdocs_test

This is a test of the mkdocs webpage maker

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moodys_scotdist

A set of programs for solving moody's financial problems.

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The-Thesis

My PhD thesis.

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VItamin_NeurIPS_Paper

NeurIPS version of the OG VItamin paper (shortened to less than 4 pages)

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