Drew Wilimitis's repositories
Manifold-Learning
Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)
hyperbolic-learning
Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)
lie-group-rotations
Exploring matrix manifolds, lie group theory, and their application to learning rotations
manifold-metric-learning
Python Implementation of Metric Learning on Generalized Manifolds
JMIR_CV_Tutorial
Sketch of Repository for CV tutorial for JMIR AI Submissions
Healthcare_CrossValidation
All code used for our pre-processing and analysis for CV with MIMIC-III data
Hyperbolic-ICD-Embeddings-MIMIC3
Hyperbolic Embeddings of ICD Diagnostic Codes with Real Hospital Data (MIMIC-3) & Mortality Prediction in the ICU
Machine-Learning-Projects
Some of my completed and ongoing projects referencing Hands on Machine Learning with Scikit-Learn and Tensorflow
AUC_NRI_IDI_python_functions
Custom python functions to help you further analyse machine learning models and diagnostic test
base16-synth-midnight-scheme
Synthwave schemes
causal_inference_python_code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Colorsublime-Themes
Colorsublime themes collection
drewwilimitis.github.io
Repository for Hosting Personal Website: https://drewwilimitis.github.io/
ExtensysPlots
Matplotlib style for scientific publications
GraphRicciCurvature
A NetworkX addon to compute the graph Ricci curvature and Ricci flow.
jupyter-dark-theme
Dark theme for Jupyter Notebook UI
jupyterlab_miami_nights
Combination of VS Code's SynthWave '84 and JupyterLab's Neon Night
landing_code
The code to create Landing Code, an application of Landing Page into your Jupyter Notebook
nipymc
Bayesian mixed-effects modeling of fMRI data in Python
notexbook-jupyter-theme
noTeXbook: Jupyter notebook theme for LaTeX lovers
omop-learn
Python package for machine learning for healthcare using a OMOP common data model
python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
scipy2014_tutorial
Tutorial: Bayesian Statistical Analysis in Python
skope-rules
machine learning with logical rules in Python
spacetimeengine
A Python utility for analyzing a given solution to the Einstein's field equations. Built on Sympy.
SWOWEN-2018
English Small World of Words SWOWEN-2018