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A UI for DuckDB

JavaScript 216 16 Updated Sep 26, 2024
Python 7 5 Updated Sep 6, 2022

Magnitude completeness analysis for seismic networks

1 Updated Jun 12, 2024

Seismic source location and network performance assessment based on seismic arrival time data

Jupyter Notebook 2 Updated Feb 15, 2024

Groningen SHRA seismic source model

Python 2 Updated Dec 15, 2023

Travel-time calculator based on the fast-marching method solution to the Eikonal equation.

Jupyter Notebook 154 55 Updated Mar 10, 2024

Implementation of the exponentially tapered Pareto distribution

Jupyter Notebook 2 Updated Aug 16, 2024

Groningen SHRA hazard and risk models

Python 3 Updated Dec 15, 2023
Python 2 Updated Dec 15, 2023

Not HDF5

Java 159 22 Updated Sep 20, 2024

🌎 Verification of weather and climate forecasts 🌍

Python 231 48 Updated Jul 5, 2024
Jupyter Notebook 23 1 Updated Sep 22, 2023

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

Jupyter Notebook 1,238 387 Updated Jan 8, 2022

Statistical Rethinking Course for Jan-Mar 2023

R 2,196 248 Updated Nov 28, 2023

Demo of the Seismic Canvas project.

Python 1 Updated Oct 30, 2020

Solve ODEs fast, with support for PyMC

Jupyter Notebook 105 10 Updated May 13, 2024

A library to generate LaTeX expression from Python code.

Python 7,164 380 Updated May 13, 2024

Facility for generating velocity grids from DGM and VELMOD models

Python 2 Updated Feb 6, 2024

Gaussian-Bernoulli Restricted Boltzmann Machines

Python 99 9 Updated Dec 1, 2022

Nearest-Neighbor-Distance algorithm to decluster seismic catalog in Python

Python 18 7 Updated Aug 27, 2020

Tools to help earthquake forecast model developers build and evaluate their forecasts

Python 48 22 Updated Aug 23, 2024

Educational resources

Jupyter Notebook 98 26 Updated Nov 18, 2021

A python package for 3D fast-marching-based traveltime calculation and its applications in seismology

C 48 11 Updated Apr 23, 2024

Aggregating gridded data (xarray) to polygons

Python 82 15 Updated Sep 27, 2024

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

Jupyter Notebook 893 286 Updated Jul 16, 2021

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

Jupyter Notebook 2,689 466 Updated Aug 22, 2024

Code for geophysical 3D/2D Finite Difference modelling, Marchenko algorithms, 2D/3D x-w migration and utilities.

C 135 63 Updated Sep 27, 2024

GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more

Python 548 72 Updated Sep 3, 2024

Generator of 2D gaussian random fields

Jupyter Notebook 48 7 Updated May 29, 2022
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