83 skills found · Page 3 of 3
acupy / Genetic Algorithm Es6🔬 This package provides a framework for building applications where genetic algorithm (GA) is used for solving optimization problems based on a natural selection process that mimics biological evolution. The algorithm repeatedly modifies a population of individual solutions.
phainestai / MimirMimir is a foundation for self-evolving methodologies for well-defined tasks - it provides a framework to capture your methodology as a Playbook, enable its consumption via MCP, and enable AI-driven evolution as inspired by genetic algorithms.
moshesipper / Tiny GaTiny Genetic Algorithm in Python.
gnypit / PyqkdRepository with codes for simulating and optimising quantum key distribution protocols.
sltodd / Genetic AkkaGenetic algorithm framework built on Akka for rapid prototyping and deployment across distributed systems.
cashlionjp / JeneticSGenetic Algorithm Framework in JS
sripberger / Gene LibGenetic algorithm framework for Node.
SnakeEye-sudo / NeuralForgeAn autonomous ML framework using meta-learning and genetic algorithms to evolve neural architectures in real-time with automatic feature engineering and zero-downtime deployments
lai-bluejay / DiegoDiego: Data in, IntElliGence Out. A fast framework that supports the rapid construction of automated learning tasks. Simply create an automated learning study (Study) and generate correlated trials (Trial). Then run the code and get a machine learning model. Implemented using Scikit-learn API glossary, using Bayesian optimization and genetic algorithms for automated machine learning. Inspired by [Fast.ai](https://github.com/fastai/fastai).
afonsof / EvolveSharp.NET Genetic Algorithm Framework
lothas / Vrep Python AIFramework for running optimization algorithms (Genetic Algorithm / Reinforcement Learning) on V-REP, using python
RolandoAndrade / Genetic Algorithm FrameworkSmall framework for the handling of genetic algorithms
alfiyandyhr / Nn Ga BenchmarkNN+GA: A Surrogate-Based Optimization Framework Using Neural Network and Genetic Algorithm
lmarchesoti / Bio Inspired AI ProjectsA collection of Bio-Inspired AI projects: a Genetic Algorithm in C++ for the Task-Scheduling Problem, with batch mode; an attempt at a Genetic Algorithm Framework in Ruby; a Multi-Objective GA in C# using both SPEA2 and NSGA2 algorithms; and Ant Colony and Particle Swarm Optimization algorithms for the Traveling Salesman Problem, with comparisons.
florianjehn / AcmeCode for my PhD project. It has the goal of automated construction of hydrological models with the Catchment Modeling Framework using genetic algorithms.
dungtran209 / Traveling Salesman Problem With GA Hyper HeuristicA Genetic-based Hyper-heuristics framework to optimize the parameters of Simulated Annealing Algorithm with application in Travelling Salesman Problem (TSP)
dreamchef / Abm Dynamics VizExplorations of agent-based modeling with evolving, dynamical behavior. Multi-agent experimental framework, and single-agent with genetic algorithm to mutate dynamics.
SylvanHuang / MOSFETS DNN PSO OptimisationUsed a Deep Neural Network implemented on Keras framework to train the variables relating to arrangement of MOSFETS on an Integrated Circuit. Applied Particle Swarm Optimisation and Genetic Algorithms to get the arrangement with minimal delay and dissipation. Part of Mini Project in Summer'20
vvjn / GAFramework.jlFramework to create your own genetic algorithm with multi-threading.
Qwinpin / NeuvolGenetic algorithm framework to find the best neural network architecture with PyTorch
