jiangyuinsar

jiangyuinsar's Stars

• maziarraissi/PINNs

  Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

  Language:Python4k121551.3k

• opengeos/segment-geospatial

  A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

  Language:Python3.1k61149315

• dsys/match

  :crystal_ball: Scalable reverse image search built on Kubernetes and Elasticsearch

  Language:Python1.2k3733150

• cjlin1/liblinear

  LIBLINEAR -- A Library for Large Linear Classification

  Language:C++1k7257343

• GenericMappingTools/pygmt

  A Python interface for the Generic Mapping Tools.

  Language:Python76727952221

• isce-framework/isce2

  InSAR Scientific Computing Environment version 2

  Language:Python51535358253

• ehsanhaghighat/sciann-applications

  A place to share problems solved with SciANN

  Language:Jupyter Notebook2501019128

• yumorishita/LiCSBAS

  LiCSBAS: InSAR time series analysis package using LiCSAR products

  Language:Python2348413112

• parosen/Geo-SInC

  Language:Jupyter Notebook160175106

• QuakeMigrate/QuakeMigrate

  A Python package for automatic earthquake detection and location using waveform migration and stacking.

  Language:Python148106335

• stanford-futuredata/FAST

  End-to-end earthquake detection pipeline via efficient time series similarity search

  Language:Jupyter Notebook145302056

• roseseismo/roses2021

  Materials for ROSES 2021

  Language:Jupyter Notebook6613139

• NBoulle/greenlearning

  Learning Green's functions of partial differential equations with deep learning.

  Language:Python633112

• maerabubu/GT-CS-PU

  InSAR 3D (2D+1D) Phase Unwrapping Matlab Code

  Language:MATLAB30205

• sheadan/DeepGreen

  DeepGreen network written in Tensorflow 2

  Language:Jupyter Notebook305014

• tgoebel/clustering-analysis

  Seismicity Clustering Analysis Based on nearest neighbor distances of event pairs

  Language:Python272010

• EQDYNA/EQdyna

  Parallel FEM for earthquake dynamic ruptures on geometrically complex fault systems and ground motions.

  Language:Fortran19101

• simpeg-research/earthscope-mt-course

  Tutorial Notebooks for an MT workflow

  Language:Jupyter Notebook197105

• TEAR-ERC/tandem

  A HPC DG method for 2D and 3D SEAS problems

  Language:C++1882010

• Specufex/specufex

  Probabilistic unsupervised feature extraction from seismic spectrograms for machine learning.

  Language:Jupyter Notebook16246

• sozawa94/hbi

  Multi-dimensional earthquake cycle simulation code

  Language:Fortran14227

• xinluo2018/HMA-GIS-Data

  Including extents of the High-Mountain Asia region and the sub-resions, as well as the main rivers, lakes and glaciers vector data in this region.

  Language:Jupyter Notebook14103

• fantine/microseismic-detection-ml

  Microseismic event detection on fiber-optic data using machine learning

  Language:Shell12305

• anowacki/Beamforming.jl

  Global seismic array analysis in Julia

  Language:Julia11602

• cjhopp/scripts

  PhD workflow scripts

  Language:HTML9403

• fantine/earthquake-detection-ml

  Earthquake detection on fiber-optic data using machine learning

  Language:Python9200

• ChrGrimm/ETASanisotropic

  This project contains Matlab code to estimate an Epidemic Type Aftershock Sequence (ETAS) model. The implementation advances the standard ETAS model by enabling anisotropic spatial kernels and accounting for short-term aftershock incompleteness.

  Language:MATLAB72

• mfussenegger/easymail

  A module that makes sending (valid) emails from python a little bit easier.

  Language:Python62

• UP-RS-ESP/PlanetScope_landslide_tracking

  Language:Python4002

• GeoGateway/BuriedSAFSlip2010

  Language:Python1710