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

• carton

  4 377 10.0 Rust

  Run any ML model from any programming language.

  * Architecture - https://github.com/VivekPanyam/carton/blob/main/ARCHITECTURE...

  Please let me know what you think!

• ivy

  7 13,793 10.0 Python

  The Unified AI Framework

  

  is this ancillary to what [these guys](https://github.com/unifyai/ivy) are trying to do?

• Onboard AI

  getonboard.dev

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• tfgo

  2 2,318 0.0 Go

  Tensorflow + Go, the gopher way

  eh, awesome! Seems this one, right? https://github.com/galeone/tfgo. Quite many stars.

• arboreal

  1 4 10.0 Go

  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 (https://github.com/stillmatic/arboreal) - it's on par with C implementations, but doing anything more complex is going to be tricky.

Suggest a related project