Stars
A cluster computing framework for processing large-scale geospatial data
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
An open source multi-modal trip planner
👻 Utilities for analyzing Bayesian models and posterior distributions
Python toolbox to process large geospatial vector files faster.
Tree-Boosting, Gaussian Processes, and Mixed-Effects Models
Long list of geospatial tools and resources
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
📝 An awesome Data Science repository to learn and apply for real world problems.
A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.
Rapid fuzzy string matching in Python using various string metrics
An R package for spatial and spatiotemporal GLMMs with TMB
Language bindings generated from the GTFS Realtime protocol buffer spec for popular languages.
Probably the best curated list of data science software in Python.
Routing and analysis engine for GTFS (General Transit Feed Specification) data
Spatial Representations for Artificial Intelligence - a Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasks
The goal of supercells is to utilize the concept of superpixels to a variety of spatial data.
Developed to power Conveyal's web-based interface for scenario planning and land-use/transport accessibility analysis, R5 is our routing engine for multimodal (transit/bike/walk/car) networks with …
A tool to combine gtfs datasets into one feed.
Statistical Rethinking course and book package
R package to estimate public transport emissions based on GTFS data