EvoX 생태계
연산 및 최적화 연구를 가속화하기 위해 설계된 라이브러리, 도구 및 프로젝트 모음입니다.
EvoX
A distributed GPU-accelerated evolutionary computation framework compatible with PyTorch.
EvoGit
A decentralized multi-agent framework that reimagines software development as a collaborative, evolutionary process.
EvoGP
A fully GPU-accelerated Tree-based Genetic Programming (TGP) framework built on PyTorch.
EvoRL
A fully GPU-acclerated framework for Evolutionary Reinforcement Learning.
EvoMO
A GPU-accelerated library for evolutionary multiobjective optimization (EMO) via advanced tensorization.
TensorNEAT
A JAX-based libaray for NeuroEvolution of Augmenting Topologies (NEAT) algorithms.
MetaDE
An advanced evolutionary framework that dynamically optimizes the strategies and hyperparameters of Differential Evolution.
EvoXBench
A platfrom offering instant benchmarking of evolutionary multi-objective optimization (EMO) algorithms in neural architecture search (NAS).