An Automata Learning Library Written in Python
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Updated
Sep 4, 2024 - Python
An Automata Learning Library Written in Python
An automata learning library written in Python.
Black-box extraction of Finite-State Machines from RNNs.
Code for the papers "Induction of Subgoal Automata for Reinforcement Learning" (AAAI-20) and "Induction and Exploitation of Subgoal Automata for Reinforcement Learning" (JAIR).
This repository contains an implementation of DISC, an algorithm for learning DFAs for multiclass sequence classification.
Enabling Model-Based Diagnosis and Failure Model Generation with Active Automata Learning
🏆 时间自动机模型学习工具站点(Timed Automata)
Grammatical inference using the Z3 SMT solver
Train RNNs to recognize regular languages.
Implementation of the L* (L Star) based Assume Guarantee Reasoning framework - dynamic DFA input as specification
Explore Aksara Jawa effortlessly with YOLOv8 and Finite State Automata-powered Transliteration that i developed. Achieving high metrics (Train: 0.967/0.922/0.961, Validation: 0.966/0.924/0.961), our Streamlit interface ensures easy input and accurate output. Unlock precision and simplicity in Aksara Jawa to Latin conversion.
This project provides a strategy for converting a CFG "If-Else" condition selection that is compatible with both Go and Python programming languages.
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