Goptuna VS goRecommend

Compare Goptuna vs goRecommend and see what are their differences.

goRecommend

Collaborative Filtering (CF) Algorithms in Go! (by timkaye11)
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
Goptuna goRecommend
- -
249 203
- -
6.4 0.0
4 months ago almost 10 years 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.

Goptuna

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

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

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 Goptuna and goRecommend you can also consider the following projects:

GoLearn - Machine Learning for Go

go-pr - Pattern recognition package in Go lang.

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

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

goga - Golang Genetic Algorithm

gobrain - Neural Networks written in go

neat

Varis - Golang Neural Network

godist - Probability distributions and associated methods in Go

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

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