Geospatial Artificial Intelligence @ UW-Seattle

Shapley Interactions and Shapley Values for Machine Learning

PDFM Embeddings: location-based vectors for geo-spatial analysis.

Ecosystem Demography Model

Gaussian Mixture Regression

Gaussian processes framework in python

TorchSpatial offers a comprehensive framework and benchmark suite designed to advance Spatial Representation Learning (SRL).

Geocoding library for Python.

A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.

Generate Diverse Counterfactual Explanations for any machine learning model.

Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.

Uplift modeling and causal inference with machine learning algorithms

Kolmogorov Arnold Networks

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

StellarGraph - Machine Learning on Graphs

A python library for decision tree visualization and model interpretation.

All the convenience of lme4 in python

Fit interpretable models. Explain blackbox machine learning.

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

A game theory approach to measuring spatial effects from machine learning models.

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.

Serif is a multi page business theme for Jekyll.

Jekyll template for a conference website containing program, speaker, talks and room overview