Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
This is a collection of our zero-cost NAS and efficient vision applications.
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
Awesome Neural Architecture Search Papers
NASBench: A Neural Architecture Search Dataset and Benchmark
翻译 - NASBench:神经体系结构搜索数据集和基准
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
翻译 - [ICLR 2019] ProxylessNAS:直接在目标任务和硬件上进行神经体系结构搜索。
Implementation of Progressive Neural Architecture Search in Keras and Tensorflow
Neural architecture search(NAS)
Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
Neural Architecture Search Powered by Swarm Intelligence 🐜
翻译 - Swarm Intelligence支持的神经架构搜索Search
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search
[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
(CVPR 2020) Block-wisely Supervised Neural Architecture Search with Knowledge Distillation
NAS-FCOS: Fast Neural Architecture Search for Object Detection (CVPR 2020)
Bridging the gap Between Stability and Scalability in Neural Architecture Search
#计算机科学#Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
翻译 - 神经体系结构搜索(NAS)的可重现快速研究
A curated list of awesome resources combining Transformers with Neural Architecture Search