hagabbar
Research Engineer at Blue Sky Innovators with 10+ years experience in machine learning, physics, and astronomy research.
Blue Sky InnovatorsArlington, VA
Pinned Repositories
cINNamon
Invertible neural network for gravitational wave parameter estimation
cnn_matchfiltering
Pipeline used for classifying BBH, NSBH, and BNS signals in LIGO data. Code used for "Matching Matched Filtering" paper.
GenNet
Returns posterior estimates on GW waveform parameters given a GW waveform buried in noise.
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.
matching_cnn_paper
Matching matched filtering with deep learning in gravitational-wave astronomy
OzGrav_demo
Demonstration of VItamin code for OzGrav
pca_aux_cop
Pipeline to search for couplings and/or trends between different degrees of freedom within the LIGO detectors. Fulbright Fellowship detector characterization project.
pycbc_detection_statistic
Attempt during Fulbright Fellowship to make neural network GW classification pipeline.
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).
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.
hagabbar's Repositories
hagabbar/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).
hagabbar/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.
hagabbar/cnn_matchfiltering
Pipeline used for classifying BBH, NSBH, and BNS signals in LIGO data. Code used for "Matching Matched Filtering" paper.
hagabbar/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.
hagabbar/cINNamon
Invertible neural network for gravitational wave parameter estimation
hagabbar/GenNet
Returns posterior estimates on GW waveform parameters given a GW waveform buried in noise.
hagabbar/matching_cnn_paper
Matching matched filtering with deep learning in gravitational-wave astronomy
hagabbar/hagabbar.github.io
My personal website homepage (in development).
hagabbar/intro2ml
An assortment of scripts to help you get started in machine learning
hagabbar/keras-dcgan
Keras implementation of Deep Convolutional Generative Adversarial Networks for aLIGO parameter estimation
hagabbar/OzGrav_demo
Demonstration of VItamin code for OzGrav
hagabbar/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.
hagabbar/pycbc_detection_statistic
Attempt during Fulbright Fellowship to make neural network GW classification pipeline.
hagabbar/VAE_tutorial
Tutorial on variational autoencoders that I've heavily adapted from Google TensorFlow website.
hagabbar/VItamin_paper
Estimating Bayesian parameter estimation using conditional variational autoencoders.
hagabbar/VItamin_technical_paper
This is a technical follow-up, to the "OG" VItamin paper.
hagabbar/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)
hagabbar/chris_vitamin_version
hagabbar/conditional_GW_gan
hagabbar/craft_prospect
Codes used during my placement at craft prospect
hagabbar/DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
hagabbar/deep_single_pixel
Deep neural network for depth and intensity predictions using a single pixel camera.
hagabbar/Disaster_kaggle_twitter
hagabbar/GenNet_paper
Paper showing the use of generative adversarial networks applied towards full posterior estimate parameter estimation.
hagabbar/IMGWDA
Inference Methods for Gravitational Wave Data Analysis - My PhD Thesis
hagabbar/mkdocs_test
This is a test of the mkdocs webpage maker
hagabbar/moodys_scotdist
A set of programs for solving moody's financial problems.
hagabbar/Postdoc_application_materials
hagabbar/The-Thesis
My PhD thesis.
hagabbar/VItamin_NeurIPS_Paper
NeurIPS version of the OG VItamin paper (shortened to less than 4 pages)