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Queen's University
- Kingston, Ontario, Canada
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22:10
(UTC -04:00) - https://digitalearthscience.com/
seis
ObsPy: A Python Toolbox for seismology/seismological observatories.
A Python package for subspace detection and waveform similarity clustering
A python library for distributed fiber optic sensing
Bayesian seismic inversion: Fast sampling Langevin dynamics Markov chain Monte Carlo
TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox
python script for 3D analysis of hypocenters, with DBSCAN filter
Progress of Lindu Software Codes (for seismological data processing: determining and relocating hypocenter; travel time tomography).
An earthquake relocation package to improve hypocenter and centroid locations using the network correlation coefficient (NCC) method
This code perform inversion using PSO (Particle Swarm Optimization) algorithm for geocomputation class final project
MATLAB codes for various problems in earthquake seismology, such as estimating hypocenters, focal mechanisms, stress, etc.
Relocate the hypocenters using double difference algorithm
Notebooks repository for "Laplace HypoPINN: Physics-Informed Neural Network for hypocenter localization and its predictive uncertainty"
STanford EArthquake Dataset (STEAD):A Global Data Set of Seismic Signals for AI
PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method
Simplified machine-learning driven earthquake detection, location, and analysis.
MAchine Learning aided earthquake MIgration location
A deep learning seismic phase picker for Ocean Bottom Seismometer data
Tutorials and updated codes for the research paper: 'Siamese Earthquake Transformer: A pair-input deep-learning model for earthquake detection and phase picking on a seismic array.'
Reformer, the efficient Transformer, in Pytorch
A concise but complete full-attention transformer with a set of promising experimental features from various papers
A brief computer graphics / rendering course
486 lines of C++: old-school FPS in a weekend
A brief computer graphics / rendering course