A Java implementation of various procedural name generation algorithms, including combinatorial, consonant vowel, context-free grammar, and Markov chain.
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Updated
Aug 1, 2025 - Java
A Java implementation of various procedural name generation algorithms, including combinatorial, consonant vowel, context-free grammar, and Markov chain.
Network security related project collection.
A simple/fast/accurate accent prediction for non-accented Vietnamese text
Learns from your friends and impersonates them in wacky ways.
Analyzing Stock Movements using Markov Chains and Monte Carlo Simulation
Project of coursework for NTUU "KPI" 5 semester (3 course 1 semester). The project is to create a voice assistant with integration - Google (YouTube Music, Google Translate), OpenWeatherMap, as well as writing its own neural network of natural language processing based on Markov chain, and the framework Maven will be used.
STAMINA - STochastic Approximate Model-checker for INfinite-state Analysis, integrated with the PRISM model checking engine
A curated collection of mathematical models spanning various disciplines, offering insights and tools for analysis, simulation, and understanding complex phenomena.
Automatic Learning Intelligent Sentence Organising Network
Rock Paper Scissors Lizard Spock game by implementing markov chain
Markov-chain twitter bots
Implemented Random text generator using order-K Markov model in Java Language.
In this repository you can find all of my projects for Performance Evaluation of Computer Systems Course when I was in 3rd semester of my master's at SUT.
My solutions to Google's Foobar challenge.
Data structures projects in Java for Temple CIS 2168
Artificial Intelligence story maker using methods such as the markov chain, bigram & trigram models.
Word generation using Markov chains and customisable data
Text prediction in Java using a Markov Chain.
An amazing open-source engine for english text generation using Markov Chains and a large english language dataset.
A text generator that guarantees to generate syntactically correct and arbitrary length texts based on a training text.
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