goRecommend VS godist

Compare goRecommend vs godist and see what are their differences.

goRecommend

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

godist

Probability distributions and associated methods in Go (by e-dard)
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
goRecommend godist
- -
203 36
- -
0.0 0.0
over 9 years ago almost 9 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.

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.

godist

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

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

What are some alternatives?

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

go-pr - Pattern recognition package in Go lang.

goga - Golang Genetic Algorithm

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

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

gobrain - Neural Networks written in go

neat

Varis - Golang Neural Network

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

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-galib - Genetic Algorithms library written in Go / golang

GoLearn - Machine Learning for Go