metaopt / torchopt

TorchOpt is an efficient library for differentiable optimization built upon PyTorch.

Date Created 2022-04-08 (2 years ago)

Commits 262 (last one 4 months ago)

Stargazers 542 (0 this week)

Watchers 13 (0 this week)

Forks 35

License apache-2.0

Ranking

RepositoryStats indexes 579,555 repositories, of these metaopt/torchopt is ranked #84,721 (85th percentile) for total stargazers, and #165,293 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #13,759/115,123.

metaopt/torchopt is also tagged with popular topics, for these it's ranked: deep-learning (#1,936/8344), pytorch (#1,304/5914), optimization (#144/879), functional-programming (#157/648), meta-learning (#19/138)

Other Information

metaopt/torchopt has 7 open pull requests on Github, 156 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 9 open issues and 29 closed issues.

There have been 9 releases, the latest one was published on 2023-11-10 (12 months ago) with the name TorchOpt v0.7.3.

Homepage URL: https://torchopt.readthedocs.io

All Topics

meta-rl pytorch optimizer optimization deep-learning meta-learning bilevel-optimization functional-programming implicit-differentiation automatic-differentiation differentiable-programming differentiable-optimization meta-reinforcement-learning

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262 commits on the default branch (main) since jan '22

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updated: 2024-11-05 @ 03:43pm, id: 479489097 / R_kgDOHJRsSQ