{"id":22894229,"url":"https://github.com/zib-iol/compression-aware-sfw","last_synced_at":"2026-05-05T05:32:43.516Z","repository":{"id":114128898,"uuid":"495364788","full_name":"ZIB-IOL/compression-aware-SFW","owner":"ZIB-IOL","description":"Code to reproduce the experiments of \"Compression-aware Training of Neural Networks using 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Compression-aware Training of Neural Networks using Frank-Wolfe\n*Authors: [Max Zimmer](https://maxzimmer.org/), [Christoph Spiegel](http://www.christophspiegel.berlin/), [Sebastian Pokutta](http://www.pokutta.com/)*\n\nThis repository contains the code to reproduce the experiments from the [\"Compression-aware Training of Neural Networks using Frank-Wolfe\" (arXiv:2205.11921)](https://arxiv.org/abs/2205.11921) paper.\nThe code is based on [PyTorch 1.9](https://pytorch.org/) and the experiment-tracking platform [Weights \u0026 Biases](https://wandb.ai).\n\n\n### Structure and Usage\nExperiments are started from the following file:\n- [`main.py`](main.py): Starts experiments using the dictionary format of Weights \u0026 Biases.\n\nThe rest of the project is structured as follows:\n- [`strategies`](strategies): Contains all used sparsification methods.\n- [`runners`](runners): Contains classes to control the training and collection of metrics.\n- [`metrics`](metrics): Contains all metrics as well as FLOP computation methods.\n- [`models`](models): Contains all model architectures used.\n- [`optimizers`](optimizers): Contains reimplementations of SFW, SGD and Proximal SGD.\n\n\n### Citation\nIn case you find the paper or the implementation useful for your own research, please consider citing:\n\n```\n@Article{zimmer2022,\n  author        = {Max Zimmer and Christoph Spiegel and Sebastian Pokutta},\n  title         = {Compression-aware Training of Neural Networks using Frank-Wolfe},\n  year          = {2022},\n  archiveprefix = {arXiv},\n  eprint        = {2205.11921},\n  primaryclass  = {cs.LG},\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzib-iol%2Fcompression-aware-sfw","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzib-iol%2Fcompression-aware-sfw","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzib-iol%2Fcompression-aware-sfw/lists"}