These are coding assignments and projects for the CS 675 Machine Learning course.

A genetic algorithm for creating personalized quizzes.

Climate pathways using directed chaos

OBEBS method

Learn It

Módulos de BKT, PFA, WBKT y PFA+, y su integración con el programa de práctica de ejercicios de sumas. Escrito en Python.

Валерия Зелёная

Adaboost implementation for my artificial intelligence class

This is the official implementations of On adaptive learning paths using hidden Markov models(JKDAS, 2023.04).

Generates quizzes on demand, on any subject or domain, with the use of LLMs like OpenAI. Quizzes are persisted and vectorized to optimize future document generation.

Adaptive Training plugin developed for the Duale Hochschule Baden-Württenberg

Experiments on Reinforcement Learning with OpenAI Gyms

Environment simulation and adaptive learning algorithm development for a cleaning robot. Using probabilistic models to estimate the environment state during decision-making.

Object-Orientated Derivative-Free Optimisation

Evaluador automático de ejercicios de programación. Escrito en Java. En progreso.

Adaptive Web Semester Project

This Rock Paper Scissors AI project combines machine learning and data science techniques to create a highly effective player. It uses an LSTM neural network for move prediction, online learning for real-time adaptation, and pattern recognition. The AI employs opponent modeling, ensemble decision-making, and dynamic learning rates .