See's repositories
SkySurvey
An exploration of Sloan Sky Survey data to understand the factors that differentiate celestial object observations between stars, galaxies, and quasi-stellar objects [QSOs or quasars] using plotly, scikit-learn, xgboost, and numerous libraries for visualization of the interrelationships between features [shap, pdpbox, etc].
Computer-Architecture
Computer Architecture
CS-Build-Week-2
Interview prep
CSLSDS
Semi-Autonomous Guard Unit #A-367 lives in a pleasant black-and-white Metaverse where porterhouse steaks grow on trees, dangling at head level from low branches, and blood-drenched Frisbees fly through the crisp, cool air for no reason at all, until you catch them. He has a little yard all to himself.
github-stats
Automatically generate summary GitHub statistics images for your profile using Actions, no server required
graphs
Graphs, BFS, DFS, connected components
jstrieb
GitHub profile README including automatically-generated profile statistics
ostep-code
Code from various chapters in OSTEP (http://www.ostep.org)
transfer-rec
PyTorch and TensorFlow Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)