Popular GitHub Repositories for Nas

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)

Olares: An Open-Source Sovereign Cloud OS for Local AI

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

PaddleSlim is an open-source library for deep model compression and architecture search.

OpenMMLab Model Compression Toolbox and Benchmark.

Automated deep learning algorithms implemented in PyTorch.

NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.

Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

This is a collection of our zero-cost NAS and efficient vision applications.

Awesome Neural Architecture Search Papers

AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch

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

(CVPR 2020) Block-wisely Supervised Neural Architecture Search with Knowledge Distillation

NAS-FCOS: Fast Neural Architecture Search for Object Detection (CVPR 2020)

Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search

[ICLR 2020] NAS evaluation is frustratingly hard

(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

Paper lists of neural architecture search (NAS)

Training ImageNet / CIFAR models with sota strategies and fancy techniques such as ViT, KD, Rep, etc.