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google-research/lottery-ticket-hypothesisArchived

0
View on GitHub↗
730 星标·143 分支·Python·Apache-2.0·4 次浏览arxiv.org/abs/1803.03635↗

Lottery Ticket Hypothesis

This codebase was developed by Jonathan Frankle and David Bieber at Google during the summer of 2018.

Features

  • Weight Pruning - Foundational lottery ticket hypothesis for sparse training.

Star 历史

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Lottery Ticket Hypothesis 的开源替代方案

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查看 Lottery Ticket Hypothesis 的所有 30 个替代方案→

常见问题解答

google-research/lottery-ticket-hypothesis 是做什么的?

This codebase was developed by Jonathan Frankle and David Bieber at Google during the summer of 2018.

google-research/lottery-ticket-hypothesis 的主要功能有哪些?

google-research/lottery-ticket-hypothesis 的主要功能包括:Weight Pruning。

google-research/lottery-ticket-hypothesis 有哪些开源替代品?

google-research/lottery-ticket-hypothesis 的开源替代品包括: 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…