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learnables/learn2learn

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learn2learn.net↗

Learn2learn

A PyTorch Library for Meta-learning Research

Features

  • Automated Machine Learning - Meta-learning framework for PyTorch research.

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  • Developer Tools - Meta-learning framework.
  • Meta Learning Libraries - Unified library for meta-learning research and experimentation.
  • More to explore - Framework for meta-learning.
  • 2,886 stars·360 forks·Python·MIT·14 views

    Star history

    Star history chart for learnables/learn2learnStar history chart for learnables/learn2learn

    How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

    Projects sharing features with Learn2learn

    These projects share indexed features with Learn2learn. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
    • adrientorris/awesome-blazorAdrienTorris avatar

      AdrienTorris/awesome-blazor

      9,307View on GitHub↗
      asp-net-coreaspnetcoreawesome
      View on GitHub↗9,307
    • ag14774/diffdistag14774 avatar

      ag14774/diffdist

      62View on GitHub↗
      Python
      View on GitHub↗62
    • aditya-khant/neural-assembly-compileraditya-khant avatar

      aditya-khant/neural-assembly-compiler

      27View on GitHub↗

      A neural assembly compiler for pyTorch based on adaptive-neural-compilation

      Haskell
      View on GitHub↗27
    • asappresearch/flambeasappresearch avatar

      asappresearch/flambe

      271View on GitHub↗

      An ML framework to accelerate research and its path to production.

      Python
      View on GitHub↗271
    Compare all 30 related projects→

    Frequently asked questions

    What does learnables/learn2learn do?

    A PyTorch Library for Meta-learning Research

    What are the main features of learnables/learn2learn?

    The main features of learnables/learn2learn are: Automated Machine Learning, Developer Tools, Meta Learning Libraries, More to explore.

    Which projects share features with learnables/learn2learn?

    Projects with overlapping indexed features include: ag14774/diffdist. avelino/awesome-go — This project serves as a comprehensive language ecosystem index, functioning as a centralized, community-curated… aditya-khant/neural-assembly-compiler — A neural assembly compiler for pyTorch based on adaptive-neural-compilation. adrientorris/awesome-blazor. asappresearch/flambe — An ML framework to accelerate research and its path to production. awentzonline/pytorch-cns — Generalized Compressed Network Search with PyTorch.