Stars
Statistical Rethinking course and book package
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
Machine Learning / Deep Learning Contents in Mobility Industry(Transportation)
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
Spatial Representations for Artificial Intelligence - a Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasks
R package implementing edge bundling algorithms
An R package for estimating generalized additive mixed models with latent variables
Deep universal probabilistic programming with Python and PyTorch
Generalized additive (mixed) models for statistical inference on network data
Python toolbox to process large geospatial vector files faster.
Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree (BART) components.
R package to fit spatial models with Random Forest
Pandas extension arrays for spatial/geometric operations
R package for fast and accurate raster zonal statistics
📝 An awesome Data Science repository to learn and apply for real world problems.
Animating scheduled transit trips using the Transitland API and Processing
Interactive tools for GTFS data visualization and analysis
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 …
Rapid fuzzy string matching in Python using various string metrics
A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Probabilistic prediction with XGBoost.