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Final Project for Embedded Machine Learning of Heidelberg University. Task of Group5 is replicating the ADMM pruning and implement it specifically with LeNet-5 and AlexNet. This fork is the LeNet part.

License: MIT License

Python 15.43% Dockerfile 0.31% Shell 0.27% Jupyter Notebook 83.98%

eml_pruning_admm's Introduction

EML_Pruning_ADMM

Final Project for Embedded Machine Learning of Heidelberg University. Group5 task is replicate the ADMM pruning and implement it specific LeNet-5 and AlexNet.

Management Document: https://www.notion.so/fffrozen/Embedded-Machine-Learning-Final-Project-16034c82d99a41a0b3cefdaef3a72d8c?pvs=4

Dicionary Structure:

  • src/ : Contains the source code for the project
    • ADMM_Toolbox/ : Contains the ADMM toolbox
    • SimplePruning_Toolbox/(Optional) : Contains the simple pruning toolbox such as 1. Enegy Efficiency-Aware Pruning, 2. Structured-Preserved Pruning. These methods are not major task of the project, but it is good comparison with ADMM.
    • LeNet5/ : Contains the LeNet5 implementation
    • AlexNet/ : Contains the AlexNet implementation
  • data/ : Contains the data for the project
  • results/ : Contains the results of the project
  • docs/ : Contains the documentation of the project
  • references/ : Contains the references of the project
  • docker/ : Contains the docker files for the project

TODOs: Implement AlexNet for ImageNet Implement LeNet5 for MNIST Implement ADMM Pruning for LeNet5 Implement ADMM Pruning for AlexNet

eml_pruning_admm's People

Contributors

fffrozen090 avatar karl1018 avatar huaijin-cxy avatar maiqizhou avatar

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