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Oak Ridge National Laboratory
- Knoxville, TN
- https://orcid.org/0000-0002-5930-0943
Stars
Optax is a gradient processing and optimization library for JAX.
JupyterGIS - Collaborative GIS editor in Jupyter
Integration of H3 with GeoPandas and Pandas
Python package for scraping real estate property data
Use US Census shapefiles in Python (port of the R tigris package)
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
Mind the Gap is an algorithm for detecting areas of missing data in building footprints.
PySAL: Python Spatial Analysis Library Meta-Package
Tutorial on Practical Numerical Optimization with SciPy, Estimagic and JAXopt - SciPy 2022
censusdis is a Python package for discovering, loading and analyzing, U.S. Census demographic, economic, and geographic data and metadata. It is designed to be intuitive and Pythonic, giving users …
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
Interactive 2D scatter plot widget for Jupyter Lab and Notebook. Scales to millions of points!
pseudopeople is a Python package that generates realistic simulated data about a fictional United States population, designed for use in testing entity resolution (record linkage) methods or other …
The Los Angeles Times' open-source archive of California coronavirus data
👑 Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
Tutorial material for Julia basic training
optimagic is a Python package for numerical optimization. It is a unified interface to optimizers from SciPy, NlOpt and other packages. optimagic's minimize function works just like SciPy's, so you…
Run Rstudio Server in a conda environment
Tools used to generate the SciPy conference proceedings
Tools for data fusion and analysis of synthetic data in R
R package to retrieve U.S. Census data and metadata via API
Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control