randomforest vs goRecommend

randomforest

Random Forest implementation in golang (by malaschitz)

Machine Learning

Source Code

Suggest alternative

Edit details

goRecommend

Collaborative Filtering (CF) Algorithms in Go! (by timkaye11)

Machine Learning

Source Code

Suggest alternative

Edit details

InfluxDB - Power Real-Time Data Analytics at Scale

Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

www.influxdata.com

featured

SaaSHub - Software Alternatives and Reviews

SaaSHub helps you find the best software and product alternatives

www.saashub.com

featured

randomforest		goRecommend
	Project
2	Mentions	-
39	Stars	203
-	Growth	-
2.6	Activity	0.0
2 months ago	Latest Commit	almost 10 years ago
Go	Language	Go
Apache License 2.0	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.

randomforest

Posts with mentions or reviews of randomforest. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-06.

Machine Learning
8 projects | /r/golang | 6 Feb 2023

I did end up writing and using a custom library for Random Forest (it's also in AwesomGo) in one real-world project (detecting Alzheimer's and Parkinson's from speech from a mobile app) - https://github.com/malaschitz/randomForest I had better results than the team who used TensorFlow and most importantly I didn't have to use any other technology than Go. For NN's it's probably best to use https://gorgonia.org/ - but it's not exactly a user friendly library. But there is a whole book on it - Hands-On Deep Learning with Go.
Boruta algorithm added to Random Forest library
1 project | /r/golang | 22 Jul 2021

goRecommend

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

We haven't tracked posts mentioning goRecommend yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing randomforest and goRecommend you can also consider the following projects:

GoLearn - Machine Learning for Go

go-pr - Pattern recognition package in Go lang.

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

neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.

sklearn - bits of sklearn ported to Go #golang

gobrain - Neural Networks written in go

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

Varis - Golang Neural Network

EAGO

godist - Probability distributions and associated methods in Go

onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.