https://github.com/metaopt/torchopt

TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
https://github.com/metaopt/torchopt

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

Last synced: 3 months ago
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TorchOpt is an efficient library for differentiable optimization built upon PyTorch.

• Host: GitHub
• URL: https://github.com/metaopt/torchopt
• Owner: metaopt
• License: apache-2.0
• Created: 2022-04-08T17:55:21.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-07-02T09:18:46.000Z (4 months ago)
• Last Synced: 2024-07-18T01:55:25.949Z (4 months ago)
• Topics: automatic-differentiation, bilevel-optimization, deep-learning, differentiable-optimization, differentiable-programming, functional-programming, implicit-differentiation, meta-learning, meta-reinforcement-learning, meta-rl, optimization, optimizer, pytorch
• Language: Python
• Homepage: https://torchopt.readthedocs.io
• Size: 5.22 MB
• Stars: 513
• Watchers: 12
• Forks: 35
• Open Issues: 12
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Citation: CITATION.cff

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