Artemii Novoselov (crimeacs)

crimeacs

Geek Repo

Company:Stanford

Location:Stanford

Home Page:https://t.me/nn_for_science

Twitter:@EarthML1

Github PK Tool:Github PK Tool

Artemii Novoselov's repositories

seismic-augmentation

Pytorch library for seismic data augmentation

Language:PythonLicense:MITStargazers:34Issues:4Issues:1

source-separation

Code to reproduce "Separation and denoising of seismically-induced signals with dual-path recurrent neural network architecture" paper 2020

Language:Jupyter NotebookLicense:MITStargazers:27Issues:0Issues:0

Seismic_Forward_Modeling

Seismic Forward Modeling written in Python

Language:Jupyter NotebookLicense:MITStargazers:23Issues:0Issues:0

translator_agent

GPT prepping certificates of translation

Language:PythonLicense:Apache-2.0Stargazers:10Issues:1Issues:0
Language:Jupyter NotebookLicense:GPL-3.0Stargazers:9Issues:0Issues:0

vision_scraper

GPT scraping web-pages

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:7Issues:0Issues:0

Geochronological_Colors

HEX Color Codes for Geochronological (Stratigraphic) chart

License:GPL-3.0Stargazers:3Issues:1Issues:0

ground-coupling

Code to reproduce "Acoustic-to-seismic ground coupling: coupling efficiency and inferring near-surface properties" Novoselov et al. 2020 paper

Language:Jupyter NotebookStargazers:3Issues:0Issues:0

ThisEarthquakeDoesntExist

Code to reproduce This Earthquake Doesn't Exist Paper

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thunder-seis

Code to accompany ThunderSeis paper

Language:Jupyter NotebookLicense:MITStargazers:2Issues:0Issues:0

crimeacs.github.io

My personal web-site

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dl_seismology

This repo contains the database and supporting materials for Deep-Learning Seismology

License:MITStargazers:1Issues:0Issues:0
Language:Jupyter NotebookStargazers:1Issues:0Issues:0

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.

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:1Issues:0Issues:0

monolama_earrings

monolama_earrings test

License:GPL-3.0Stargazers:1Issues:0Issues:0

my-travel-plans

Udacity training

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rsudp

Continuous visual display, sudden motion monitoring, and historical replay of Raspberry Shake data

License:NOASSERTIONStargazers:1Issues:0Issues:0
License:Apache-2.0Stargazers:0Issues:0Issues:0

contoso-chat

Microsoft AI Workshop

License:MITStargazers:0Issues:0Issues:0

LOC-FLOW

Earthquake Location WorkFlow

License:MITStargazers:0Issues:0Issues:0

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.

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TeleTwit

An attempt to make a telegram bot that would be crossposting to twitter

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