Leo Tideman's repositories
A-multiscale-atlas-of-the-molecular-and-cellular-architecture-of-the-human-kidney
Data and notebook relevant to the following publication: "A multiscale atlas of the molecular and cellular architecture of the human kidney" by Elizabeth K. Neumann, Nathan Heath Patterson, Leonoor E.M. Tideman, Lukasz G. Migas, Madeline E. Colley, Melissa A. Farrow, Jamie L. Allen, Emilio S. Rivera, Carrie E. Romer, Haichun Yang, Maya Brewer, Kavya Sharman, Raymond C. Harris, Agnes B. Fogo, Danielle B. Gutierrez, Mark P. de Caestecker, Richard M. Caprioli, Raf Van de Plas, Jeffrey M. Spraggins.
alibi-detect
Algorithms for outlier, adversarial and drift detection
awesome-artificial-intelligence-guidelines
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
deep-visualization-toolbox
DeepVis Toolbox
FastTreeSHAP
Shapley additive explanations. Changes to TreeSHAP suggested by Jilei Yang.
Global-explainability
The full code used in the global explainability blog post
introspective
Repo for the ML_Insights python package
IVADO-DL101
Introduction to Deep Learning
LEMTideman
Config files for my GitHub profile.
leo_scikit_learn
scikit-learn: machine learning in Python
ODSC_workshop
A collection of resources for learning and research.
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
S2DL
S2DL: A Superpixel-based and Spatially-regularized Diffusion Learning Method for Unsupervised Hyperspectral Image Clustering