Lime: Explaining the predictions of any machine learning classifier

Local Interpretable Model-Agnostic Explanations (R port of original Python package)

A Python library for fast, interactive geospatial vector data visualization in Jupyter.

Introduction to GIS Programming

An extremely fast Python package and project manager, written in Rust.

Scripts to detect flooding in Philadelphia after Hurricane Ida in 2021.

Pulls telemetry data from MCM LTER and plots figures

Course documents for Zoo955 UW-Madison

Free American football data from StatsBomb

Agricultural Classification and Estimation Service

ggplot2 extension for alluvial plots

CmdStanR: the R interface to CmdStan

Google Earth Engine Feature Collections via Dask Dataframes

Repository to store code and examples for introducing sports analytics research topics

Bayesian inference and posterior analysis for Python

BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.

lightweight server interface to Stan model methods

Process very large Stan models efficiently

A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments

Kentaro Matsuura (2023). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.

Cyberinfrastructure to support the EFI-USGS River Chlorophyll Forecasting Challenge

Bayesian Data Analysis course at Aalto

A complete environment for Bayesian inference within R

An R Interface to the Daymet Web Services

A python script to download Daymet data

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

R package that wraps the ASA API