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28 repositories
- Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
- EvoRL is a fully GPU-accelerated framework for Evolutionary Reinforcement Learning, implemented with JAX. It supports Reinforcement Learning (RL), Evolutionary Computation (EC), Evolution-guided Reinforcement Learning (ERL), AutoRL, and seamless integration with GPU-optimized simulation environments.
metade
PublicMetaDE is a GPU-accelerated evolutionary framework that optimizes Differential Evolution (DE) strategies via meta-level evolution. Supporting both JAX and PyTorch, it dynamically adapts mutation and crossover strategies for efficient large-scale black-box optimization.evoxbench
PublicTransforming Neural Architecture Search (NAS) into multi-objective optimization problems. A benchmark suite for testing evolutionary algorithms in deep learning.tensorneat
PublicGPU-accelerated NeuroEvolution of Augmenting Topologies (NEAT)- A GPU-accelerated library for Tree-based Genetic Programming, leveraging PyTorch and custom CUDA kernels for high-performance evolutionary computation. It supports symbolic regression, classification, and policy optimization with advanced features like multi-output trees and benchmark tools.
- GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA.
snn-temporal-fusion
Publicspikefpn
PublicIncremental-Optimization
Publicgpbt-pl
Publicfr-nas
Publicmixer-snn
PublicSoloGAN
PublicOfficial implementation of SoloGANBLVG
PublicPDVC
PublicSFLM
PublicFaPN
Public[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image PredictionRelativeNAS
PublicTransferLearning-Tasks
Publicnsganetv2
PublicGMPB
PublicDenseNAS
PublicGMOEA
Public