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Hypernets ⭐ 256

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

Nsganetv2 ⭐ 89

[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search

Evoxbench ⭐ 63

Transforming Neural Architecture Search (NAS) into multi-objective optimization problems. A benchmark suite for testing evolutionary algorithms in deep learning.

"Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics" by Wuyang Chen, Xinyu Gong, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, and Zhangyang Wang

Robustarchitecturesearch ⭐ 18

This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks"

NEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training

Nas_transformer ⭐ 12

Evolutionary Neural Architecture Search on Transformers for RUL Prediction

Enas Pdm ⭐ 11

Evolutionary Neural Architecture Search for Remaining Useful Life Prediction

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