This repository contains the source code for EasyCompress, a tool that automates and intelligently compresses deep learning models.
You can conveniently use the tool through its interactive online interface here.
The tool is designed to compress a model based on the degree of compression, the type of compression (model size, computations, or inference time), and a minimum required performance threshold. It uses pruning, knowledge distillation, and quantization techniques to achieve the desired compression configuration.
The code is organised as follows:
./src/contains all the source code for the tool../examples/contains notebooks that show how to use the tool../experiments/contains code and notebooks for conducting experiments with the tool.
EasyCompress was developed as a thesis project on automated model compression for deep learning.
The thesis report can be found here.