fsa
Afinite-state machine (FSM),finite-state automaton (FSA), or simplystate machine is a mathematicalmodel of computation and anabstract machine that can be in exactly one of a finite number of states at any given time.
The FSM can change from one state to another in response to some inputs; the change from one state to another is called atransition.
An FSM is defined by a list of its states, its initial state, and the inputs that trigger each transition.
In computer science, FSM are widely used in modeling of application behavior (control theory), design ofhardware digital systems,software engineering,compilers,network protocols, andcomputational linguistics.
Here are 63 public repositories matching this topic...
Language:All
Sort:Most stars
[CVPR19] FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image
- Updated
Dec 8, 2022 - Python
Type-safe action creator utilities
- Updated
May 28, 2020 - TypeScript
Fluent syntax for defining typesafe reducers on top of typescript-fsa.
- Updated
Jan 4, 2023 - TypeScript
Malayalam Morphological Analyzer using Finite State Transducer
- Updated
Jan 13, 2025 - Lex
Design System site for USDA Farm Production and Conservation products
- Updated
Mar 7, 2025 - JavaScript
Create redux reducers for async behaviors of multiple actions.
- Updated
Jan 12, 2023 - JavaScript
🌁 Nondeterministic Finite State Automata for Java (in plain English: flowcharts with multiple possible outcomes)
- Updated
Jun 14, 2023 - Java
CSS Implementation of USDA's FPAC Design System
- Updated
Mar 7, 2025 - HTML
Finite-State Machine (FSM) for Arduino
- Updated
Sep 30, 2023 - C++
An R package for finding higher order interactions, and best subsets for statistical regression models.
- Updated
Jun 30, 2021 - R
🐰 🐱 🐻 FSA-compliant promise middleware for Redux, supports referencing dispatcher/state in action.
- Updated
Sep 23, 2018 - TypeScript
Developer friendly API to use the Morphologic FSA
- Updated
Nov 28, 2023 - Java
Build a text analyzer that can do text analysis and statistics, lexical analysis (using WordNet), NLP(tokenization, tagging, parsing), classification, and sentiment analysis.
- Updated
Dec 20, 2019 - Python
- Followers
- 25 followers
- Wikipedia
- Wikipedia