AI4EPS

Overview

AI4EPS

Home
Research
Research
- Research
- QuakeFlow
  QuakeFlow
- CCTorch
  CCTorch
  - Overview
  - Reference
- DeepDenoiser
  DeepDenoiser
- PhaseNet
  PhaseNet
- EQNet
  EQNet
  - Overview
  - PhaseNet-DAS
- GaMMA
  GaMMA
- ADSeismic
  ADSeismic
  - Overview
- ADLoc
  ADLoc
  - Overview
- ADTomo
  ADTomo
  - Overview
- Deep Catalog
  Deep Catalog
  - Overview
  - Hawaii
  - Tonga
Teaching
Teaching
- Teaching
- EPS130 Seismology
  EPS130 Seismology
  - Overview
  - Wave Equation
    Wave Equation
    
    Lecture
    
    Exercise
  - Travel Time
    Travel Time
    
    Lecture
    
    Exercise
  - Tomography
    Tomography
    
    Lecture
    
    Exercise
  - Seismometers
    Seismometers
    
    Lecture
    
    Exercise
  - Earthquake Location
    Earthquake Location
    
    Lecture
    
    Exercise
  - Earthquake Magnitude
    Earthquake Magnitude
    
    Lecture
    
    Exercise
  - Ambient Noise
    Ambient Noise
    
    Lecture
    
    Exercise
  - Focal Mechanism
    Focal Mechanism
    
    Lecture
    
    Exercise
  - Earthquake Statistics
    Earthquake Statistics
    
    Lecture
    
    Exercise
- Seismology
  Seismology
  - Overview
  - Notebooks
    Notebooks
    
    Spring Slider
    
    1D seismic wave
    
    Obspy
    Obspy
    
    Download Data
    
    Signal Processing
    
    Signal Processing
    
    Denoising
    
    Earthquake Detection
    
    Phase Picking and Association
    
    Earthquake Location
    
    Focal Mechanism and Moment Tensor
    
    Focal Mechanism
    
    Phase Picking on DAS
- PyEarth
  PyEarth
  - Overview
  - Python Introduction
    Python Introduction
    
    Introduction & Python 101
    
    Numpy & Pandas
    
    Matplotlib & Cartopy & PyGMT
  - Supervised Learning
    Supervised Learning
    
    Regression1
    
    Regression2
    
    Classification1
    
    Classification2
  - Unsupervised Learning
    Unsupervised Learning
    
    Clustering
  - Statistics
  - Deep Learning
    Deep Learning
    
    Neural Networks 1
    
    Neural Networks 2
- ML4Earth
  ML4Earth
  - Overview
  - Syllabus
  - Standard Formats
    Standard Formats
    
    Seismic Event Data (one single file)
    
    Seismic Event Data (one event per file)
    
    Seismic Event Template (one single file)
    
    DAS Event Data (one event per file)
    
    DAS Event Template
- Catalog Workshop
  Catalog Workshop
  - README
  - Introduction
  - Regional Seismic Network
    Regional Seismic Network
    
    Slides
    
    Tutorials
  - Building Earthquake Catalog
    Building Earthquake Catalog
    
    Machine Learning
    Machine Learning
    
    Slides
    
    Notebook
    
    Template Matching
    Template Matching
    
    Slides
    
    Notebook1
    
    Notebook2
    
    Notebook3
  - Evaluating Earthquake Catalog
  - Conclusions
- DAS Workshop
  DAS Workshop
  - Home
  - DAS Basics
    DAS Basics
    
    Slides
    
    Lab: DAS Basics
  - Deep Learning for DAS
    Deep Learning for DAS
    
    Slides
    
    Lab 2a: PhaseNet Inference
    
    Lab 2b: Phase Association
    
    Lab 2c: Semi-supervised Training
    
    Lab 2d: DASNet Inference
  - Focal Mechanisms
    Focal Mechanisms
    
    Slides
    
    dasfm Package
    
    Lab 3a: Ray Parameters 2D
    
    Lab 3b: DAS Preprocessing
    
    Lab 3c: Focal Mechanism Inversion
    
    Lab 3d: Result Summary
  - Eikonal Tomography
    Eikonal Tomography
    
    Slides
    
    Lab: 2D Tomography
    
    Lab: 3D Tomography
Publication
Publication
- Publications
- Presentations
Contact

ADTomo

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