mit-han-lab / torchsparse

[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.

Date Created 2020-08-24 (4 years ago)

Commits 104 (last one 3 months ago)

Stargazers 1,214 (2 this week)

Watchers 16 (0 this week)

Forks 143

License mit

Ranking

RepositoryStats indexes 579,238 repositories, of these mit-han-lab/torchsparse is ranked #42,433 (93rd percentile) for total stargazers, and #136,866 for total watchers. Github reports the primary language for this repository as Cuda, for repositories using this language it is ranked #23/335.

mit-han-lab/torchsparse is also tagged with popular topics, for these it's ranked: pytorch (#708/5908)

Other Information

mit-han-lab/torchsparse has 3 open pull requests on Github, 54 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 24 open issues and 235 closed issues.

There have been 5 releases, the latest one was published on 2023-06-18 (about a year ago) with the name v2.0.0.

Homepage URL: https://torchsparse.mit.edu

All Topics

pytorch acceleration

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23 commits on the default branch (master) since jan '22

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The primary language is Cuda but there's also others...

updated: 2024-11-06 @ 09:00pm, id: 289956862 / R_kgDOEUhj_g