Example implementation of the Markov Algorithm to generate random meaningful text.
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Updated
Oct 2, 2022 - Java
Example implementation of the Markov Algorithm to generate random meaningful text.
Pagina web que permite a los usuarios registrarse y loguearse, y poder jugar a contestar preguntas de distintos temas mediante la camara.
THIS REPOSITORY COMPLETELT FOCUSES ON BASIC GAMES THAT COULD BE DEVELOPED USING CONCEPTS OF AI
Intention: should independently be able to demonstrate knowledge of the most basic methods within game AI field and able to reason around its historical development in relation to applications
Play Tic-Tac-Toe against a reinforcement learning agent that just learned to play through temporal difference learning
This repository is created for learning purpose of Machine learning. In this repository we will share basic implemented codes in jupyter notebook of Numpy, Pandas, arrays , basics of python then All algorithm implementation of Machine Learning like perceptron, perceptron Delta, BPA(Back propagation Alogrithm), Ant colony , Fuzzy logic etc.
Personal Portfolio Website covering my AI & Blockchain Solutions
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Link to Portfolio.
Caleb AI Core - the kernel of Caleb smart assistant
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Final for CPS 367 - Artificial Intelligence
Classifying Diabetes using Artificial Neural Networks
Pablo is a webtool to transfer image styles onto an uploaded image using Tensorflow Hub and Google's Magenta library
Generate NFTs with AI and mint directly to the IPFS by simple click.
AI Manager for Devin AI
Using reinforcement learning techniques, robot battle tanks were taught how to fight in a tank battle
Ultimate Tic-Tac-Toe is a board game composed of nine tic-tac-toe boards arranged in a 3-by-3 grid. In the game implemented here, players take turns playing in the smaller tic-tac-toe boards until one of them wins in the either of the smaller boards.
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