Showing 4 open source projects for "c programming framework"

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  • 1
    LangChainGo

    LangChainGo

    LangChain for Go, the easiest way to write LLM-based programs in Go

    LangChainGo is a Go-based implementation of the LangChain framework, designed to help developers build applications powered by large language models using the Go programming language. It provides a modular architecture that allows developers to combine components such as language models, chains, agents, memory systems, and vector stores into flexible workflows. The framework emphasizes composability, making it easy to create complex pipelines that integrate LLMs with external data sources, APIs, and tools. ...
    Downloads: 0 This Week
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  • 2
    Gonum

    Gonum

    Set of numeric libraries for the Go programming language

    ...We encourage you to get started with Go and Gonum if you are tired of sluggish performance, and fighting C and vectorization, and also if you are struggling with managing programs as they grow larger. Get Gonum if you want code to be fully transparent, and want the ability to read the source code you use. It is useful if you’d like a compiler to catch mistakes early, but hate fighting linker and unintelligible compile errors.
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  • 3
    DarwinKit

    DarwinKit

    Native Mac APIs for Go. Previously known as MacDriver

    DarwinKit is a lightweight framework that provides system-level utilities and APIs for macOS and iOS development, allowing deeper interaction with the Darwin operating system.
    Downloads: 0 This Week
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  • 4
    GoNB

    GoNB

    GoNB, a Go Notebook Kernel for Jupyter

    ...GoNB leverages that compilation speed to implement a full-featured (at least it's getting there) Jupyter notebook kernel. As a side benefit it works with packages that use CGO — although it won't parse C code in the cells, so it can't be used as a C kernel. It already includes many goodies: cache between cell of results, contextual help and auto-complete (with gopls), compilation error context (by mousing over), bash command execution, images, html, etc. See the tutorial. It's been heavily used by the author (in developing GoMLX, a machine learning framework for Go), but should still be seen as experimental — if we hear success stories from others, we can change this.
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