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Created over 4 years ago
Updated over 2 years ago

JesperDramsch

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Code to recreate the tutorial and figures in the book chapter.

seismic-transfer-learning

Deep-learning seismic facies on state-of-the-art CNN architectures

Jupyter Notebook

ml.recipes

Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tutorial focuses on basics that work. Getting you 90% of the way to top-tier reproducibility.

HTML

data-science-gui.de

Skillshare Data Science and Business Analytics in Python

Jupyter Notebook

Complex-CNN-Seismic

Code accompanying the paper "Complex-valued neural networks for machine learning on non-stationary physical data".

Python

4D-seismic-neural-inversion

Deep Neural Networks for Map-Based 4D Seismic Pressure-Saturation Inversion

Jupyter Notebook

COmig

Common Offset Migration using Kirchhoff depth

MATLAB

kaggle-notebooks

A place to store my kaggle notebook contributions [All-Time Top 81]

Jupyter Notebook

advent-of-code

My solutions for the Advent of Code

Jupyter Notebook

kdbneo2

embedding

High Dimensions to 2D and back

Lasso

backscatter-sem-segmentation

Gaussian Mixture Models for Robust Unsupervised Scanning-Electron Microscopy Image Segmentation of North Sea Chalk

HTML

Fully-Connected-Neural-Network

MATLAB

recursive_notch

Recursive Notch Filter

MATLAB

Traptris

Python

Steam-Account-Fast-Switch

Switch to a different steam account quickly

Shell

userscripts

Custom Userscripts for Tampermonkey

JavaScript

windowing-seismic-for-deep-learning

Information Theory Considerations in Patch-based Training of Deep Neural Networks on Seismic Time-Series

HTML

Ars-Geophysica

Jupyter Notebook

JesperDramsch/70-Years-of-Machine-Learning-in-Geoscience-in-Review

JesperDramsch

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