Lin-Ping / awesome-AutoML

a list of high-quality and newest AutoML works for architecture search, automated feature engineering, hyperparameter optimization and model compression & acceleration.

awesome-AutoML

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.

Neural Architecture Search

[Papers]

• FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search | [2018/12]

[Projects]

• Microsoft/nni | [Python]

Model Compression & Acceleration

[Papers]

• Fast Algorithms for Convolutional Neural Networks | [2016; CVPR 2016]
  • andravin/wincnn | [Python]

[Projects]

• NervanaSystems/distiller | [PyTorch]

Hyperparameter Optimization

[Projects]

• Microsoft/nni | [Python]

[tutorials/blogs]

• Overview of Bayesian Optimization
• Bayesian optimization

Automated Feature Engineering