Pinned Repositories
Geochronological_Colors
HEX Color Codes for Geochronological (Stratigraphic) chart
ground-coupling
Code to reproduce "Acoustic-to-seismic ground coupling: coupling efficiency and inferring near-surface properties" Novoselov et al. 2020 paper
PhaseHunter
seismic-augmentation
Pytorch library for seismic data augmentation
Seismic_Forward_Modeling
Seismic Forward Modeling written in Python
source-separation
Code to reproduce "Separation and denoising of seismically-induced signals with dual-path recurrent neural network architecture" paper 2020
ThisEarthquakeDoesntExist
Code to reproduce This Earthquake Doesn't Exist Paper
thunder-seis
Code to accompany ThunderSeis paper
translator_agent
GPT prepping certificates of translation
vision_scraper
GPT scraping web-pages
crimeacs's Repositories
crimeacs/seismic-augmentation
Pytorch library for seismic data augmentation
crimeacs/source-separation
Code to reproduce "Separation and denoising of seismically-induced signals with dual-path recurrent neural network architecture" paper 2020
crimeacs/Seismic_Forward_Modeling
Seismic Forward Modeling written in Python
crimeacs/translator_agent
GPT prepping certificates of translation
crimeacs/PhaseHunter
crimeacs/vision_scraper
GPT scraping web-pages
crimeacs/Geochronological_Colors
HEX Color Codes for Geochronological (Stratigraphic) chart
crimeacs/ground-coupling
Code to reproduce "Acoustic-to-seismic ground coupling: coupling efficiency and inferring near-surface properties" Novoselov et al. 2020 paper
crimeacs/ThisEarthquakeDoesntExist
Code to reproduce This Earthquake Doesn't Exist Paper
crimeacs/thunder-seis
Code to accompany ThunderSeis paper
crimeacs/course-collaboration-travel-plans
crimeacs/crimeacs.github.io
My personal web-site
crimeacs/dl_seismology
This repo contains the database and supporting materials for Deep-Learning Seismology
crimeacs/faults
crimeacs/gempy
GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.
crimeacs/monolama_earrings
monolama_earrings test
crimeacs/my-travel-plans
Udacity training
crimeacs/rsudp
Continuous visual display, sudden motion monitoring, and historical replay of Raspberry Shake data
crimeacs/telegram_yearly_stats
Telegram Yearly Stats is a Python-based tool that leverages the Pyrogram library to efficiently extract and organize message data from specified Telegram channels. It's designed for users interested in data analytics, archival, or insights related to message interactions on Telegram channels.
crimeacs/actions
crimeacs/contoso-chat
Microsoft AI Workshop
crimeacs/LOC-FLOW
Earthquake Location WorkFlow
crimeacs/TeleTwit
An attempt to make a telegram bot that would be crossposting to twitter