jkglasbrenner
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A next-generation curated knowledge sharing platform for data scientists and other technical professions.
An orchestration platform for the development, production, and observation of data assets.
Kubernetes reference, awesome, cheatsheet, concepts, tools, examples
a CLI that provides a generic automation layer for assessing the security of ML models
Text and code for the second edition of Think Bayes, by Allen Downey.
Code for a tutorial on Bayesian Statistics by Allen Downey.
A fast entity component system (ECS) for C & C++
A demonstration of best practices for a large Flask API project
Exemplary real world JSON API built with Flask (Python)
A pure-Python count-min sketch, fast and accurate.
Computationally efficient rolling window iterators for Python (sum, variance, min/max, etc.)
Template scripts to setup Docker Images compatible with running on MNP Batch
a curated list of awesome streaming frameworks, applications, etc
Website that classifies comments for toxicity in real time
C4-PlantUML combines the benefits of PlantUML and the C4 model for providing a simple way of describing and communicate software architectures
Code and Data for the First Edition of "Practical SQL" by Anthony DeBarros, published by No Starch Press (2018).
Sample OOP/ECS/DOD project (C++) for an internal Unity lecture in 2018
JARVIS-Tools: an open-source software package for data-driven atomistic materials design. Publications: https://scholar.google.com/citations?user=3w6ej94AAAAJ https://www.youtube.com/@dr_k_choudhary
"What They Forgot to Teach You About R" website / eBook
Run standard t-tests, simulations, and Bayesian difference in means tests with R and Stan
Public repo for Materials API documentation
🤹♀ Animations of tidyverse verbs using R, the tidyverse, and gganimate
Plain python implementations of basic machine learning algorithms
🌙🦉 An RStudio, tmThemes, and Ace editor adaptation of @sdras' Night Owl VS Code theme…