132 skills found · Page 1 of 5
lmarti / Evolutionary Computation CourseJupyter/IPython notebooks about evolutionary computation.
kasvii / PMCE[ICCV 2023] PyTorch Implementation of "Co-Evolution of Pose and Mesh for 3D Human Body Estimation from Video"
fatbobman / CoreDataEvolutionSwiftData-style actor isolation, Swift-first NSManagedObject macros, and typed mapping for modern Core Data projects.
chloechsu / Combining Evolutionary And Assay Labelled DataNo description available
socialsensor / Community Evolution AnalysisA framework for the analysis of social interaction networks (e.g. induced by Twitter mentions) in time.
Evolutionary-Intelligence / EvolutionaryComputation A Modern Perspective ECAMPEvolutionary Computation: A Modern Perspective |<...>| This is an online book, which is free-access and actively-updated (1st Edition: from 2023 to 2027).
Gen-Verse / GenEnvGenEnv: Difficulty-Aligned Co-Evolution Between LLM Agents and Environment Simulators
xyjigsaw / Evolutionary Computation Navigation🎮OmegaXYZ.com演化计算文章目录（实时更新）
Mattdl / ContinualPrototypeEvolutionCodebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastreams. Includes implementation of the Pseudo-Prototypical Proxy (PPP) loss.
XiaokunFeng / Tsp Problem Based On Evolutionary Computation基于演化计算方法的旅行商问题求解，以中国34个城市为例，具体通过遗传进化算法、粒子群优化算法、蚁群优化算法和差分进化算法来实现。
bejancsaba / Java Concurrency EvolutionNo description available
Hellisotherpeople / Python Cooperative Synapse NeuroEvolutionA Python implementation of the "CoSyne" algorithim, as described in this paper: https://pdfs.semanticscholar.org/966e/41903b4aff42601a188bd7b26d71ef120d11.pdf
doesburg11 / PredPreyGrassExploring learned cooperation, coevolution and free-riding. Learning is achieved through Multi-Agent Deep Reinforcement Learning (MADRL) in an ecological environment. The environment emits no other than sparse reproduction rewards. No reward shaping, no explicit cooperation signal.
EvolutionAPI / Evolution Audio ConverterNo description available
sokrypton / GREMLINGREMLIN is a method to learn a statistical model of a protein family that captures both conservation and co-evolution patterns in the family. The strength of measured co-evolution is strongly predictive of residue-residue contacts in the 3D structure of the protein.
xcontcom / Initial State EvolutionThis project explores artificial evolution in a Turing-complete universe. Two populations of cellular automata fields evolve via genetic algorithms, interacting through Conway’s Game of Life. Fitness is not fixed - it emerges from co-evolution. A simulation of open-ended digital life.
OUStudent / EvolutionaryComputationCourseNo description available
CIAM-Group / EvolutionaryAlgorithm CodesEA codes from CIAM Group at SUSTech, Shenzhen, China
llens / QuantumComputingEvolutionaryAlgorithmDesignA Python program to both simulate a quantum computer and use parallel evolutionary techniques to design algorithms for it.
fernandocalenzani / Sed Evolutionary Computing DragonflyThis work proposes a planning methodology of distribution systems formulated as a nonlinear optimization problem, which was solved through the heuristic Dragonfly Optimization Algorithm, which will be developed with the integration between OpenDSS for power flow calculation and Python for collection, modifying the feeder and displaying the results. The Dragonfly Algorithm is responsible for the reconfiguration of the feeder, with the objective function of minimizing the costs of expansion and technical losses. The proposed methodology was tested on the IEEE 123 feeder adapted buses, which is a test network with more than 123 buses, multiple switches, regulators, transformers, etc. Finally, the reconfiguration proposal brought an economy 22% compared to the original expansion plan, simulated with Dragonfly Algorithm, with 30 dragonflies and maximum number of iterations equal to 25, showing the effectiveness of the algorithm when applied to electric power distribution systems.
