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AI4Seismology Training School 2025
Lectures
Day 1: Introductions
Day 2: Theory
Day 3: Applications
Day 4: HPC & Data
Tutorials
Setting-up
Transformers for Time Series Analysis
Transformers Part 1
Transformers Part 2
Physics-Informed Neural Networks
1D Harmonic Oscillator with PINNs
1D Harmonic Oscillator with FBPINNs
Unsupervised Learning
Part 1: Get Data
Part 2: Generate Features
Part 3: Reduce Dimensions with PCA
Part 4: Reduce Dimensions with UMAP
Part 5: Cluster Analysis
Earthquake Catalogs
🚀 Access curated PNW Dataset with SeisBench APIs
🌎 U-Net for Seismic Phase Picking
Quickly setting-up picking models
Seismic Event Classification using Deep Learning
UMAP
Supervised and Unsupervised Machine Learning Methods for Urban Sound dataset
HPC
Time Series on HPC
Taxi Trips (exercise)
Taxi Trips (solution)
Other information
Where to go?
Repository
Open issue
.md
.pdf
Transformers for Time Series Analysis
Transformers for Time Series Analysis
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