Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)
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Updated
Dec 11, 2019 - Python
Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)
Regular expression engine in Python using Thompson's algorithm.
1. Use Thompson algorithm to convert the regular expression to NFA 2. Use the subset construct to convert NFA to DFA 3. Minimize DFA to MFA 4. Use MFA to match strings
Library on Multi-armed bandit
Thompson is Python package to evaluate the multi-armed bandit problem. In addition to thompson, Upper Confidence Bound (UCB) algorithm, and randomized results are also implemented.
正则表达式转NFA,DFA,最小DFA
The aim of this project is to design and implement a library allowing to generate and represent finite state machine also know as finite automaton. The library will also implement algorithms to perform operations that are specific to finite state automaton : Determination, Minimization, Complementary, Elimination of ***ε*** transitions, etc
Finite-state machines for Rust
Graph Theory Project - (G00356519)
regular expressions and deterministic and non-deterministic finite automata - simulator and analysis software
A Theory of Computation mini project in progress using Java and JavaFX GUI.
A simple, but powerful Regular Expression recognizer
A Python program that uses an NFA to check if a regular expression matches a given string
Maximize revenues of Online Retail Business with Thompson Sampling algorithm
Resolução dos problemas de Teoria de Computação 2019/2020
Curso tomado en la ESCOM, con el Maestro Norman Rafael Saucedo.
A command-line tool that converts a "simple" regular expression into its corresponding nondeterministic finite automaton (NFA) using Thompson’s Construction algorithm
Input a Regex, get its AST, NFA, DFA and finally it Minimized DFA (Compiler Course Assignment)
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