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 5 months ago)

Stargazers 557 (0 this week)

Watchers 14 (0 this week)

Forks 35

License apache-2.0

Ranking

RepositoryStats indexes 595,890 repositories, of these metaopt/torchopt is ranked #84,337 (86th percentile) for total stargazers, and #156,040 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #13,734/119,419.

metaopt/torchopt is also tagged with popular topics, for these it's ranked: deep-learning (#1,930/8511), pytorch (#1,295/6025), optimization (#144/900), functional-programming (#156/654), meta-learning (#19/140)

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 10 open issues and 29 closed issues.

There have been 9 releases, the latest one was published on 2023-11-10 (about a year 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: 2024-12-18 @ 11:20am, id: 479489097 / R_kgDOHJRsSQ