Show HN: Carton – Run any ML model from any programming language

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  • carton

    Run any ML model from any programming language.

    * Architecture -

    Please let me know what you think!

  • ivy

    The Unified AI Framework

    is this ancillary to what [these guys]( are trying to do?

  • Onboard AI

    Learn any GitHub repo in 59 seconds. Onboard AI learns any GitHub repo in minutes and lets you chat with it to locate functionality, understand different parts, and generate new code. Use it for free at

  • tfgo

    Tensorflow + Go, the gopher way

    eh, awesome! Seems this one, right? Quite many stars.

  • arboreal

    pure Go library for gradient boosted decision trees

    We used Triton Inference Server (with a Golang sidecar to translate requests) for model serving and a separate Go app that handled receiving the request, fetching features, sending to Triton, doing other stuff with the response, serving. This scaled to 100k QPS with pretty good performance but does require some hops.

    In general writing pure Go inference libraries sucks. Not easy to do array/vector manipulation, not easy to do SIMD/CUDA acceleration, cgo is not go, etc. I wrote a fast XGBoost library at least ( - it's on par with C implementations, but doing anything more complex is going to be tricky.

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