Deep Learning for Seismic Imaging and Interpretation
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Updated
Sep 18, 2020 - Python
Deep Learning for Seismic Imaging and Interpretation
A Node.js tool for deploying ERC-20 compatible tokens on the Seismic devnet and automating token transfers to random addresses for testing and airdrop simulations.
Matlab research tools to read, write and process seismic data
🔭 Read, parse seismic data from AnyShake Explorer, stream via SeedLink, WebSocket, TCP and archive to database, miniSEED.
🌏 Detecting seismic wave using 3 geophones and 3-axis accelerometer, pack & send data to AnyShake Observer over RS232 / RS485 serial.
Seismic inversion
Repeating earthquakes search and analysis.
python tools for seismic ground-roll (surface wave) simulation
The Seismo-Performer: A Novel Machine Learning Approach for General and Efficient Seismic Phase Recognition from Local Earthquakes in Real Time
Retrieve azimuthal anisotropy of surface waves from inter-station measurements, following Schippkus et al. 2020
Reproducible material for A self-supervised learning framework for seismic low-frequency extrapolation
Fast estimation of CRS parameters using structure tensors
Reproducible material for Meta-Processing: A robust framework for multi-tasks seismic processing
Single-header SAC (Seismic Analaysis Code) I/O library written in C++20.
For Southeast Tibet
Slope estimation and interpolation of multi-channel seismic data
A simple Golang module that deals with miniSEED files.
SeedLink server protocol basic implementation in pure Go.
📈 Get real-time seismic waveform and spectrogram on desktop from AnyShake Observer APIs, based on Obspy and Matplotlib.
Reproducible material for Self-supervised Seismic Resolution Enhancement
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