R package for measuring assessment performance

FOSS mass appraisal and automated valuation modeling toolkit

❗ This is a read-only mirror of the CRAN R package repository. spgwr — Geographically Weighted Regression. Homepage: https://github.com/rsbivand/spgwr/, https://rsbivand.github.io/spgwr/ Report bug…

Example that samples zone-to-zone travel times, querying the Google API for drive, walk, or bike time

❗ This is a read-only mirror of the CRAN R package repository. gwrr — Fits Geographically Weighted Regression Models with Diagnostic Tools

An R Framework for Climate Data Access and Post-processing

[CVPR26] TESSERA is a foundation model that can process time-series satellite imagery for applications such as land classification and canopy height prediction. Developed at the University of Cambr…

This script creates polygons across a selected network of streets keeping an eye on the intersection and by managing the size and shape of the polygons over the network of streets.

Lime: Explaining the predictions of any machine learning classifier

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

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Model Context Protocol (MCP) that allows LLMs to use QGIS Desktop

Reference PyTorch implementation and models for DINOv3

Fast State-of-the-Art Static Embeddings

Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata.

The Galileo family of pretrained remote sensing models

OpenMMLab Foundational Library for Training Deep Learning Models

Image Test Time Augmentation with PyTorch!

Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthr…

Inference code for CodeLlama models

A list of AI autonomous agents

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

Provides a SpatialDataGenerator class for accessing spatial data.

SXL: Spatially explicit learning of geographic processes with auxiliary tasks

Case study of different statistical and machine learning models for spatial data

A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting

Scalable and user friendly neural 🧠 forecasting algorithms.