Statistical Machine Intelligence & Learning Engine
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Updated
Jun 11, 2024 - Java
Statistical Machine Intelligence & Learning Engine
frontend for Flower Evolver website.
backend for Flower Evolver website
Generic Algorithmen for rockets which try to find their target
A simple AI in pure c++ to play the snake game
Propulate is an asynchronous evolutionary optimization algorithm and software package for global optimization and hyperparameter search on high-performance computers.
Genetic Algorithm used for a robot to travel around a virtual world
A Java library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms
Web implementation of Roger Alsing's EvoLisa problem
The Mancala board game with several AI bots
This project explores an IBM telecom dataset, conducting initial EDA and data preprocessing. It examines three genetic algorithm variations for feature selection: one-point, two-point, and uniform crossover. Logistic regression is used to predict customer churn, and performance is evaluated using error bar plots.
A C++17 library to Evolve (via NEAT and HyperNEAT) / train small Neural Networks.
Using Neural Networks through the NEAT algorithm for the birds so they can learn how to play Flappy Bird
Evolutionary decision tree classifier
A collection of reinforcement learning algorithm implementations
High-Performance Symbolic Regression in Python and Julia
Integrates the classic Pong game with AI using NEAT (NeuroEvolution of Augmenting Topologies) to train neural networks through evolutionary principles. Watch as the AI evolves to master Pong by competing and improving over generations.
Genetic algorithm to find the minimum values of benchmark functions for optimization. By: ProTεuS
Evolutionary Algorithm parameter optimisation template
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