Projects sharing features with REmap

Turf is a JavaScript and TypeScript geospatial analysis library and toolkit used for performing spatial analysis and geometric operations on GeoJSON data. It functions as a modular spatial engine that allows for the generation, manipulation, and classification of geographic datasets within web and node environments. The library provides a set of utility functions to programmatically create structured points, lines, and polygons. It enables the calculation of distances, areas, and geometric relationships between geographic coordinates, supporting both browser-based geospatial analysis and clie

Memgraph is an in-memory, distributed graph database designed for high-performance labeled property graph management. It utilizes a Cypher query engine for declarative data retrieval and manipulation, providing a scalable knowledge graph backend that integrates vector search and graph traversals. The system distinguishes itself as a real-time graph analytics platform, employing native C++ and CUDA implementations to execute complex network analysis and dynamic community detection on streaming data. It provides specialized support for AI integration, including GraphRAG capabilities, the constr

SpatialLM is a spatial modeling framework that uses large language models to transform monocular video and sensor data into structured indoor semantic maps. It functions as a system for indoor layout estimation and a point cloud semantic parser, converting raw geometric data into representations of architectural elements and object categories. The project aligns multi-modal sensor inputs with linguistic tokens, allowing a language model to serve as a reasoning engine for inferring room topology. It employs mechanisms to convert 3D point clouds and 2D image sequences into discrete tokens and s