rahulvigneswaran / Lottery-Ticket-Hypothesis-in-Pytorch

This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.

Date Created 2019-10-15 (5 years ago)

Commits 9 (last one 2 years ago)

Stargazers 324 (0 this week)

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RepositoryStats indexes 579,555 repositories, of these rahulvigneswaran/Lottery-Ticket-Hypothesis-in-Pytorch is ranked #124,719 (78th percentile) for total stargazers, and #268,427 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #21,205/115,123.

rahulvigneswaran/Lottery-Ticket-Hypothesis-in-Pytorch is also tagged with popular topics, for these it's ranked: python (#6,217/21870), deep-learning (#2,679/8344), pytorch (#1,828/5914)

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rahulvigneswaran/Lottery-Ticket-Hypothesis-in-Pytorch has 5 open pull requests on Github, 1 pull request has been merged over the lifetime of the repository.

Github issues are enabled, there are 13 open issues and 3 closed issues.

All Topics

python lottery pruning pytorch iclr2019 deep-learning winning-ticket network-pruning pytorch-implementation lottery-ticket-hypothesis

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updated: 2024-10-24 @ 03:39pm, id: 215229831 / R_kgDODNQlhw