lukegriffiths

ashby-sammis

Jupyter notebook with interactive plot of Ashby and Sammis (1990) sliding wing crack model to predict rock failure.

conda-environments

YAML files for Conda environments

crack-extract

Tool to extract cracks from 2D images, and quantify their geometry.

david-2012-model

Interactive plot to fit David et al. (2012) sliding crack model for rock stiffness to stress-strain data.

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"

inversion-examples

Examples of inversion algorithms.

lukegriffiths/crack-extract

Tool to extract cracks from 2D images, and quantify their geometry.

lukegriffiths/ashby-sammis

Jupyter notebook with interactive plot of Ashby and Sammis (1990) sliding wing crack model to predict rock failure.

lukegriffiths/inversion-examples

Examples of inversion algorithms.

lukegriffiths/david-2012-model

Interactive plot to fit David et al. (2012) sliding crack model for rock stiffness to stress-strain data.

lukegriffiths/conda-environments

YAML files for Conda environments

lukegriffiths/daylight_hours

Scrapes and plots daylight hour data.

lukegriffiths/deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

lukegriffiths/DexiNed

Tensorflow Implementation of DexiNed for Edge Detection WACV'20 (also in PyTorch )

lukegriffiths/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.

lukegriffiths/Grokking-Deep-Learning

this repository accompanies the book "Grokking Deep Learning"

lukegriffiths/ml_project_demo

Template for ML projects, based on "Approaching (Almost) Any Machine Learning Problem" – Abhishek Thakur

lukegriffiths/mohr-coulomb-failure

lukegriffiths/python-sample-vscode-flask-tutorial

Sample code for the Flask tutorial in the VS Code documentation

lukegriffiths/python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

lukegriffiths/ReinforcementLearningCourse

Fork of reinforcement learning course

lukegriffiths/trampolines

lukegriffiths/ultimate-scientific-plot

Or not. A plot with as many useful things as possible in one place.