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All Projects → guan-yuan → Awesome Automl And Lightweight Models

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.

Labels

pytorchtensorflowawesome-listautomlhyperparameter-optimizationmeta-learningneural-architecture-searchquantizationmodel-compressionnas

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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

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