Statistical Machine Intelligence & Learning Engine
Heart Failure Management System
OptFrame - C++17 (and C++20) Optimization Framework in Single or Multi-Objective. Supports classic metaheuristics and hyperheuristics: Genetic Algorithm, Simulated Annealing, Tabu Search, Iterated Local Search, Variable Neighborhood Search, NSGA-II, Genetic Programming etc. Examples for Traveling Salesman, Vehicle Routing, Knapsack Problem, etc.
Web implementation of Roger Alsing's EvoLisa problem
Aprendizaje sobre IA y DeepLearning
Flappy Bird AI (NEAT)
Trabalho de conclusão de curso sobre algoritmo genético em Python para Universidade de Pernambuco (UPE) em parceria com a Salvus, criado em 2021
A simple AI in pure c++ to play the snake game
Implementation of a Hybrid Genetic Algorithm for the 2D BinPacking problem. Powered by Numba for high-performance computation.
🧬OO implement of genetic algorithm by python
Mixed-initiative co-creative game design tool that creates game mechanics by exploring the source code of your Unity game project
Feature engineering is the process of converting raw data into a more accessible format, optimizing it for effective utilization in machine learning models.
Research Project
This course covers the applied side of algorithmics in machine learning and deep learning, focusing on hands-on coding experience in Python.
High-Performance Symbolic Regression in Python and Julia
NEAT implementation in python
backend for Flower Evolver website
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
A Flappy Bird Clone added a AI using NEAT , The game have 3 modes.
A program to explore Combinatorics using a Genetic Algorithm to solve the TSP (Travelling Salesman Problem)
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