Nick Eubank's starred repositories
jupyterlab
JupyterLab computational environment.
LaTeX-Workshop
Boost LaTeX typesetting efficiency with preview, compile, autocomplete, colorize, and more.
ScikitLearn.jl
Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/
GeoStats.jl
An extensible framework for geospatial data science and geostatistical modeling fully written in Julia
StatsModels.jl
Specifying, fitting, and evaluating statistical models in Julia
subsuper-proposal
Draft proposal for additional sub/superscript characters in Unicode
GeometryBasics.jl
Basic Geometry Types
dask-cloudprovider
Cloud provider cluster managers for Dask. Supports AWS, Google Cloud Azure and more...
GeoInterface.jl
A Julia Protocol for Geospatial Data
Shapefile.jl
Parsing .shp files in Julia
DAME-FLAME-Python-Package
A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
talon_starter_pack
Basic starter pack of voice commands for use with Talon Voice
dataverse-uploader
Upload local folder/directory trees to Dataverse or Clowder repositories.
practicaldatascience_class
Website for Practical Data Science Course Page
BayesModels
Easy Bayesian models.
upgrade-knausj
CLI to make it easier to upgrade your Talon community fork
seaborn_objects_recipes
seaborn_objects_recipes is a Python package that extends the functionality of the Seaborn library, providing custom recipes for enhanced data visualization. This package includes below features to augment your Seaborn plots with additional capabilities.
juliacloud
This repository contains the files needed to build the juliacloud container refered to in the blog "Julia Distributed Computing in the Cloud"
pytest_utils
Package for producing Gradescope-compatible results.json files with Pytest tests
GR5065_2021
Material for my Columbia M.A. class "Bayesian Statistics for the Social Sciences"