go-featureprocessing vs go-galib

go-featureprocessing

🔥 Fast, simple sklearn-like feature processing for Go (by nikolaydubina)

Machine Learning Go feature-engineering

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go-galib

Genetic Algorithms library written in Go / golang (by thoj)

Machine Learning

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go-featureprocessing		go-galib
	Project
6	Mentions	-
113	Stars	199
-	Growth	-
5.2	Activity	0.0
about 1 month ago	Latest Commit	over 8 years ago
Go	Language	Go
MIT License	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.

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.

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
Show HN: Go-Featureprocessing v1.0.0
2 projects | news.ycombinator.com | 15 Jan 2021

What is this?
Fast feature preprocessing in Go with feature parity to sklearn
https://github.com/nikolaydubina/go-featureprocessing
What is new?
* Added batch processing
Feature Processing in Go
3 projects | news.ycombinator.com | 21 Dec 2020
[P] fast and convenient feature processing in Go! I am sure many backend teams are running Go services, if so this should help integration better!
1 project | /r/MachineLearning | 21 Dec 2020
Fast and convenient library for feature processing in pure Go! I am focusing on single sample processing time, benchmarks and ease of use. Try it out!
1 project | /r/golang | 21 Dec 2020

go-galib

Posts with mentions or reviews of go-galib. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning go-galib yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing go-featureprocessing and go-galib you can also consider the following projects:

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

go-fann - Go bindings for FANN, library for artificial neural networks

bayesian - Naive Bayesian Classification for Golang.

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

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

gobrain - Neural Networks written in go

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

libsvm - libsvm go version

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

sklearn - bits of sklearn ported to Go #golang

go-pr - Pattern recognition package in Go lang.