guan-yuan / awesome-AutoML-and-Lightweight-Models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

Date Created 2018-12-28 (6 years ago)

Commits 187 (last one 4 years ago)

Stargazers 853 (0 this week)

Watchers 55 (0 this week)

Forks 160

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RepositoryStats indexes 637,312 repositories, of these guan-yuan/awesome-AutoML-and-Lightweight-Models is ranked #62,024 (90th percentile) for total stargazers, and #37,011 for total watchers.

guan-yuan/awesome-AutoML-and-Lightweight-Models is also tagged with popular topics, for these it's ranked: pytorch (#974/6235), awesome-list (#857/3000), tensorflow (#507/2305), automl (#59/220), meta-learning (#13/145), hyperparameter-optimization (#28/126), model-compression (#19/109)

Other Information

guan-yuan/awesome-AutoML-and-Lightweight-Models has 1 open pull request on Github, 4 pull requests have been merged over the lifetime of the repository.

All Topics

nas automl pytorch tensorflow awesome-list quantization meta-learning model-compression model-acceleration quantized-training architecture-search quantized-neural-network neural-architecture-search hyperparameter-optimization automated-feature-engineering

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updated: 2025-04-07 @ 06:33am, id: 163359611 / R_kgDOCbyrew