child processes in the future 👶
lightweight vector database implementation in rust
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A high-performance, flexible, ergonomic k-d tree library. Ideal for geo- and astro- nearest-neighbour and k-nearest-neighbor queries
Very generic containers including KD trees, fibonacci heaps, minmax heaps, ...
Spatial search trees with a focus on online mutability, speed, performance guarantees, and flexibility
Super fast fixed size K-d Trees for extremely large datasets.
Offline reverse geocoding library using geonames db
Adriann is a Rust library implementing SPANN, a high-scale hybrid nearest-neighbor algorithm.
FNNTW: Fastest Nearest Neighbor (in the) West. A fast kdtree/kNN library.
Rust implementation of MosaicMem: Hybrid Spatial Memory for Video World Models
Rust version of C. Dalitz's triplclust clustering algorithm