Drew Wilimitis

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

Hyperbolic-ICD-Embeddings-MIMIC3. Hyperbolic Embeddings of ICD Diagnostic Codes with Real Hospital Data (MIMIC-3) & Mortality Prediction in the ICU

Image-classification-dogs-cats. Image processing, segmentation/feature extraction, and outlier detection for dogs/cats classification

US-Census-Income-Prediction. Predicting Income Classes from US Census Data

Machine-Learning-Projects. Some of my completed and ongoing projects referencing Hands on Machine Learning with Scikit-Learn and Tensorflow

spooky_author_prediction. NLP and text classification models for the Spooky Author Kaggle competition

SPD_fMRI. Python Implementation: "Re-visiting Riemannian geometry of symmetric positive definite matrices for the analysis of functional connectivity"

notexbook-jupyter-theme. noTeXbook: Jupyter notebook theme for LaTeX lovers

PhysionetMLPipeline. Complete repository for loading, processing, and running modeling experiments on MIMIC and eICU datasets