Common machine learning algorithm implementations
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Updated
Jun 6, 2024 - C#
Common machine learning algorithm implementations
Vita - Genetic Programming Framework
A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered in the current version.
A set of programs in Julia designed to efficiently simulate range expansions.
Graph Optimiser for Learning and Evolution of Models
Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization
A repository of various articles, posts, papers and code snippets
Website for the annual Genetic Programming Theory & Practice workshops
XCSF learning classifier system: rule-based online evolutionary machine learning
Evolutionary Algorithms Framework
Multi Expression Programming - evolutionary library for data analysis (symbolic regression, classification and time series)
This course covers the applied side of algorithmics in machine learning and deep learning, focusing on hands-on coding experience in Python.
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.
Push Genetic Programming in Python.
C++ Large Scale Genetic Programming
Python bindings and scikit-learn interface for the Operon library for symbolic regression.
Ai Game Engine, used in a competition against other AIs by playing the Tafl Games
This repository is dedicated to my exploration and understanding of various artificial intelligence (AI) algorithms and techniques. I document my progress and share resources, code, and insights related to AI.
EC-KitY is a scikit-learn-compatible Python tool kit for doing evolutionary computation.
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