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ae_stress_classifier

Prediction of mechanical data from acoustic emission waveforms.

autoencoders

Autoencoders for unsupervised learning. Written in Pytorch.

brady_fmf

FMF search for additional microseismic events during Brady Hot Springsseismic acquisition

char-rnn-tensorflow-disease-generator

Generating new diseases with recurrent neural networks

chatbot

cogic

Covid-19 Geographic Impact Calculator

container-base

Base Container for SCOPED Applications

cookiecutter-ml-template

daskhub

Custom daskhub helm chart

docker-stacks

Ready-to-run Docker images containing Jupyter applications

healthcareai-py

hypodd

HypoDD by Felix Waldhauser

ml_catalog

ngroebner.github.io

noisepy

Gathers all of our ambient noise modules in python

openmlops

physics-ml

Files, paper, info on machine learning in physics

pyhawkes

Python framework for inference in Hawkes processes.

quorum

A permissioned implementation of Ethereum supporting data privacy

scoped_ml_tutorial

SCOPED tutorial

scoped_test

seisbench

SeisBench - A toolbox for machine learning in seismology

seiscoped-specufex

SpecUFEx Containerized

seismic-autoencoders

Experiments on using autoencoders to cluster seismograms

seismic_bpmf

Complete framework for earthquake detection and location: Backprojection and matched-filtering (BPMF), with methods for automatic picking, relocation and efficient waveform stacking.

specufex

Bayesian unsupervised feature extraction for spectrograms.

specufex-cookiecutter

specufex_preprocessing

Preprocessing steps for SpecUFEx

specufex_processing

Pre and post processing utilities for specufex workflow

unsupervised_baselines

Comparison of unsupervised machine learning methods on multi-scale waveform datasets.