neural-architecture-search topic

Rapid experimentation and scaling of deep learning models on molecular and crystal graphs.

ncfrey

[ICLR 2020]: 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'

meijieru

my own deep learning mastery roadmap

dansuh17

Automated deep learning algorithms implemented in PyTorch.

D-X-Y

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

D-X-Y

Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019

JiahuiYu

[ICLR 2020] NAS evaluation is frustratingly hard

antoyang

Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight)

HayeonLee

Open Source Neural Architecture Search Toolbox for Device-aware Image Dense Prediction & Official implementation of ICCV2021 "iNAS: Integral NAS for Device-Aware Salient Object Detection"

guyuchao

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

microsoft