Luke Griffiths's repositories
crack-extract
Tool to extract cracks from 2D images, and quantify their geometry.
ashby-sammis
Jupyter notebook with interactive plot of Ashby and Sammis (1990) sliding wing crack model to predict rock failure.
inversion-examples
Examples of inversion algorithms.
david-2012-model
Interactive plot to fit David et al. (2012) sliding crack model for rock stiffness to stress-strain data.
conda-environments
YAML files for Conda environments
daylight_hours
Scrapes and plots daylight hour data.
deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
DexiNed
Tensorflow Implementation of DexiNed for Edge Detection WACV'20 (also in PyTorch )
Force-2020-Machine-Learning-competition
the results, code and the data for the Force 2020 Machine learning competition after the completion of the competition in October 2020.
Grokking-Deep-Learning
this repository accompanies the book "Grokking Deep Learning"
ml_project_demo
Template for ML projects, based on "Approaching (Almost) Any Machine Learning Problem" – Abhishek Thakur
python-sample-vscode-flask-tutorial
Sample code for the Flask tutorial in the VS Code documentation
python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
ReinforcementLearningCourse
Fork of reinforcement learning course
ultimate-scientific-plot
Or not. A plot with as many useful things as possible in one place.