leaves VS go-ml-benchmarks

Compare leaves vs go-ml-benchmarks and see what are their differences.

leaves

pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks (by dmitryikh)
Machine Learning Lightgbm Xgboost decision-trees boosting Go Golang
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go-ml-benchmarks

⏱ Benchmarks of machine learning inference for Go (by nikolaydubina)
Machine Learning Benchmarks Xgboost scikit-learn Inference Grpc Go Python CPP
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leaves go-ml-benchmarks
3 5
415 30
- -
1.8 2.7
10 months ago 7 days ago
Go Go
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

leaves

Posts with mentions or reviews of leaves. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-16.
  • ml for text
    2 projects | /r/golang | 16 Nov 2022
  • ML in golang
    1 project | /r/golang | 18 Aug 2021
    For Random Forests https://github.com/dmitryikh/leaves is very good. It is native Go port of XGBoost.
  • Machine learning with GOlang
    6 projects | /r/golang | 5 Apr 2021
    Tabular data is well supported in Go. Tabular data and small sample sizes is a sweet spot for Go. You may squeze in some meaningful performance and good looking code and integrations. Some entry points: (1) https://github.com/nikolaydubina/go-ml-benchmarks (2) https://github.com/dmitryikh/leaves (3) https://github.com/nikolaydubina/go-featureprocessing

go-ml-benchmarks

Posts with mentions or reviews of go-ml-benchmarks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-05.

What are some alternatives?

When comparing leaves and go-ml-benchmarks you can also consider the following projects:

tflite-golang-gan-example

nett - A short and sweet neural network library.

go-bench-stream - 🌊 Go Benchmarks for Stream Processing

tensorflow - An Open Source Machine Learning Framework for Everyone

openmodelz - One-click machine learning deployment (LLM, text-to-image and so on) at scale on any cluster (GCP, AWS, Lambda labs, your home lab, or even a single machine).

go-featureprocessing - 🔥 Fast, simple sklearn-like feature processing for Go

llama2.go - LLaMA-2 in native Go

spaGO - Self-contained Machine Learning and Natural Language Processing library in Go

leaves vs tflite-golang-gan-example go-ml-benchmarks vs tflite-golang-gan-example leaves vs nett go-ml-benchmarks vs go-bench-stream leaves vs tensorflow go-ml-benchmarks vs openmodelz leaves vs go-featureprocessing go-ml-benchmarks vs llama2.go leaves vs spaGO