pure Go library for gradient boosted decision trees (by stillmatic)

Arboreal Alternatives

Similar projects and alternatives to arboreal

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better arboreal alternative or higher similarity.

arboreal reviews and mentions

Posts with mentions or reviews of arboreal. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-27.
  • Show HN: Carton – Run any ML model from any programming language
    4 projects | | 27 Sep 2023
    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.


Basic arboreal repo stats
9 days ago

stillmatic/arboreal is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.

The primary programming language of arboreal is Go.

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