Results for fuzzy_associative_memory

A Radix trie for suggestion search, it allows to search for data indexed by a set of keywords fast.

High-performance Rust library for routing, searching, and querying GTFS transit data with minimal runtime allocations.

A persistent datastore backed by RocksDB with fuzzy key lookup using an arbitrary distance function accelerated by the SymSpell algorithm

Levenshtein/Universal Automata for approximate string matching using various dictionary backends

SciRS2-powered tensor execution backend for TensorLogic

Semantic memory with SQLite and Qdrant for Zeph agent

Bash compatibility layer for fish shell

CLI extensions for Git that simplify common workflows

Content-addressed BM25 + HNSW indexes on top of triblespace piles.

PlasCAD

A Discord bot to play audio files (quips) on command

Spelling correction & Fuzzy search

A Fuzzy Associative Memory (FAM for short) is a Fuzzy Logic tool for decision making. Fuzzy logic FAMs have a wide range of practical applications: Control systems, such as governing a fan to keep a room at the "just right" temperature; Game AI, such as imbuing bots with human-like decision-making behavior; Prediction systems, linking causes with effects. A FAM uses Fuzzy Sets to establish a set of rules that are linguistic in nature. The linguistic rules, and the fuzzy sets they contain, are defined by a human "expert" (presumably, you). The rules therefore codify intelligence and map this knowledge from the human domain to the digital.