A list of high-quality and newest AutoML works for 1.) neural architecture search, 2.) model compression & acceleration, 3.) hyperparameter optimization, 4.) automated feature engineering.
This repo is aimed to provide the info for AutoML research. Welcome to PR the works (papers, repositories) that are missed by the repo.
[Papers]
- FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search | [2018/12]
[Projects]
- Microsoft/nni | [Python]
[Papers]
- Fast Algorithms for Convolutional Neural Networks | [2016; CVPR 2016]
- andravin/wincnn | [Python]
[Projects]
- NervanaSystems/distiller | [PyTorch]
[Projects]
- Microsoft/nni | [Python]
[tutorials/blogs]