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Hi, my name is Ethan Marx and I am a graduate student at MIT in the LIGO group. I am interested in machine learning applications to gravitational wave astronomy, and the detection of un-modeled transients.

Ethan Marx's Projects

aframev2 icon aframev2

Detecting binary black hole mergers in LIGO with neural networks

deepclean icon deepclean

Nonlinear noise subtraction from gravitational wave strain data

gw-iaas icon gw-iaas

Deep learning inference-as-a-service tools and pipelines for gravitational wave physics

gwpy icon gwpy

Package for analysing and characterising gravitational wave data in python

hermes icon hermes

Inference-as-a-Service deployment made simple

lfi-gw icon lfi-gw

Likelihood-Free Inference for Gravitational Waves

ml4gw icon ml4gw

Torch utilities for doing machine learning in gravitational wave physics

ml4gw-quickstart icon ml4gw-quickstart

Makefile for configuring environment to develop `ml4gw` applications on LDG

mldatafind icon mldatafind

Utilities for standardizing gravitational wave data discovery

nautilus-grpc-debug icon nautilus-grpc-debug

Reproducible example of grpc bug communicating with triton inference servers deployed on nautilus

pe icon pe

Performing parameter estimation on gravitational wave data with machine learning

pinto icon pinto

Job environment management and execution tool

pycondor icon pycondor

Build and submit workflows to HTCondor in Python

pyomicron icon pyomicron

Python utilities and extensions for the Omicron (C++) GW event trigger generator

ray-kube icon ray-kube

Deploy publicly exposed static Ray clusters with Kubernetes

tune-demo icon tune-demo

Demo for launching ray tune hp search using MNIST dataset

typeo icon typeo

Functions as scripts as functions

yoshi icon yoshi

Gravitational wave data discovery utilities powered by `luigi` and `law`

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