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Back to learnables/learn2learn

Projects sharing features with Learn2learn

30 open-source projects similar to learnables/learn2learn, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.

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

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    This project serves as a comprehensive language ecosystem index, functioning as a centralized, community-curated directory for the Go programming language. It organizes a vast landscape of software components, libraries, and development tools into a structured, navigable hierarchy, enabling developers to efficiently discover resources tailored to specific functional domains. The repository distinguishes itself through a decentralized contribution model, where community-driven updates ensure the index remains current with the rapidly evolving software landscape. Beyond simple resource listing,

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    234View on GitHub↗

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    23View on GitHub↗

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    A Toolbox for Adversarial Robustness Research

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    ComposioHQ/awesome-claude-skills

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    This project serves as a centralized directory and resource hub for extending the functional capabilities of AI agents. It provides a structured collection of tools and integration patterns that enable large language models to interact with external software platforms, facilitating autonomous task execution and data retrieval across a wide range of business applications. The repository distinguishes itself by standardizing communication between AI models and external services through the Model Context Protocol. It utilizes declarative skill manifests and machine-readable tool-calling schemas

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    Python wrapper for TorchCraft. (In progress)

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  • dmmiller612/sparktorchdmmiller612 avatar

    dmmiller612/sparktorch

    339View on GitHub↗

    Train and run Pytorch models on Apache Spark.

    Python
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  • domainadaptation/saladdomainadaptation avatar

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    A framework for Privacy Preserving Machine Learning

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