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- evorl Public
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.
EMI-Group/evorl’s past year of commit activity - evonas Public
EvoNAS is a framework for neural architecture search , implemented with PyTorch. It supports supernet training, evolutionary multi-objective optimization, and seamless integration with modern computer vision training pipelines, including depth estimation, object detection, and semantic segmentation.
EMI-Group/evonas’s past year of commit activity - evox Public
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
EMI-Group/evox’s past year of commit activity - evogp Public
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.
EMI-Group/evogp’s past year of commit activity - evogo Public
Evolutionary Generative Optimization(EvoGO) is a fully data-driven framework for black-box optimization.
EMI-Group/evogo’s past year of commit activity - evoxbench Public
Transforming Neural Architecture Search (NAS) into multi-objective optimization problems. A benchmark suite for testing evolutionary algorithms in deep learning.
EMI-Group/evoxbench’s past year of commit activity
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