metaopt / torchopt

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

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

Commits 261 (last one 12 days ago)

Stargazers 503 (-1 this week)

Watchers 12 (0 this week)

Forks 35

License apache-2.0

Ranking

RepositoryStats indexes 534,551 repositories, of these metaopt/torchopt is ranked #85,437 (84th percentile) for total stargazers, and #172,438 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #13,634/103,470.

metaopt/torchopt is also tagged with popular topics, for these it's ranked: deep-learning (#1,931/7827), pytorch (#1,298/5588), optimization (#148/804), functional-programming (#163/631), meta-learning (#19/128)

Other Information

metaopt/torchopt has 5 open pull requests on Github, 155 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 7 open issues and 29 closed issues.

There have been 9 releases, the latest one was published on 2023-11-10 (7 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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261 commits on the default branch (main) since jan '22

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updated: 2024-06-23 @ 07:58pm, id: 479489097 / R_kgDOHJRsSQ