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VITA-Group/DataEfficientLTH

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9 Stars·2 Forks·Python·MIT·7 Aufrufe

DataEfficientLTH

Mukund Varma T 1 , Xuxi Chen 2 , Zhenyu Zhang 2 , Tianlong Chen 2 , Subhashini Venugopalan 3 , Zhangyang Wang 2

Features

  • Weight Pruning - Data-efficient image recognition using sparse winning tickets.

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Alle 30 Alternativen zu DataEfficientLTH anzeigen→

Häufig gestellte Fragen

Was macht vita-group/dataefficientlth?

Mukund Varma T 1 , Xuxi Chen 2 , Zhenyu Zhang 2 , Tianlong Chen 2 , Subhashini Venugopalan 3 , Zhangyang Wang 2

Was sind die Hauptfunktionen von vita-group/dataefficientlth?

Die Hauptfunktionen von vita-group/dataefficientlth sind: Weight Pruning.

Welche Open-Source-Alternativen gibt es zu vita-group/dataefficientlth?

Open-Source-Alternativen zu vita-group/dataefficientlth sind unter anderem: tencent/pocketflow — PocketFlow is an integrated toolkit for deep learning model compression, distributed training, and mobile format… chrundle/biprop — This method identifies a binary weight or binary weight and activation subnetwork within a randomly initialized… dchiji-ntt/iterand — by Daiki Chijiwa\*, Shin’ya Yamaguchi, Yasutoshi Ida, Kenji Umakoshi, Tomohiro Inoue. dem123456789/pruning-deep-neural-networks-from-a-sparsity-perspective — [ICLR 2023] Pruning Deep Neural Networks from a Sparsity Perspective. densoitlab/bitprune — This is the official repo for ICLR 2023 Paper "Bit-Pruning: A Sparse Multiplication-Less Dot-Product" Yusuke Sekikawa… boone891214/sanity-check-lth — Sample code use for NeurIPS 2021 paper: Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the…