AI Rank
← 开源
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.

ListsPaper collections
在 GitHub 打开
增长势头
+024 小时新增 Star0.0%
855
Star
159
Fork
+0
本周
3
贡献者
创建于 2018-12-28 · 更新于 2026-08-13 · 今日第 12385 名
主要开发者
LiYangHartZoranPandovskioptharry
README

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.

This repo is aimed to provide the info for AutoML research (especially for the lightweight models). Welcome to PR the works (papers, repositories) that are missed by the repo.

1.) Neural Architecture Search

[Papers]

Gradient:

Reinforcement Learning:

Evolutionary Algorithm:

SMBO:

Random Search:

Hypernetwork:

Bayesian Optimization:

Partial Order Pruning

Knowledge Distillation

[Projects]

2.) Lightweight Structures

[Papers]

Image Classification:

Semantic Segmentation:

Object Detection:

3.) Model Compression & Acceleration

[Papers]

Pruning:

Quantization:

Knowledge Distillation

Acceleration:

[Projects]

[Tutorials/Blogs]

4.) Hyperparameter Optimization

[Papers]

[Projects]

[Tutorials/Blogs]

5.) Automated Feature Engineering

Model Analyzer

References