leaves VS go-featureprocessing

Compare leaves vs go-featureprocessing 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)

go-featureprocessing

🔥 Fast, simple sklearn-like feature processing for Go (by nikolaydubina)
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leaves go-featureprocessing
3 6
415 115
- -
1.8 5.2
10 months ago 7 days ago
Go Go
MIT License 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-featureprocessing

Posts with mentions or reviews of go-featureprocessing. 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-featureprocessing you can also consider the following projects:

tflite-golang-gan-example

m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

nett - A short and sweet neural network library.

bayesian - Naive Bayesian Classification for Golang.

go-ml-benchmarks - ⏱ Benchmarks of machine learning inference for Go

gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library

tensorflow - An Open Source Machine Learning Framework for Everyone

ocrserver - A simple OCR API server, seriously easy to be deployed by Docker, on Heroku as well

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

gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)

sklearn - bits of sklearn ported to Go #golang

goml - On-line Machine Learning in Go (and so much more)