goRecommend VS ddt

Compare goRecommend vs ddt and see what are their differences.


Collaborative Filtering (CF) Algorithms in Go! (by timkaye11)
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goRecommend ddt
0 2
182 16
- -
0.0 0.0
almost 8 years ago over 1 year 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.


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.


Posts with mentions or reviews of ddt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-16.

What are some alternatives?

When comparing goRecommend and ddt 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

shield - Bayesian text classifier with flexible tokenizers and storage backends for 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.

Varis - Golang Neural Network

gobrain - Neural Networks written in go

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

Goptuna - A hyperparameter optimization framework, inspired by Optuna.


golinear - liblinear bindings for Go

go-pr - Pattern recognition package in Go lang.

go-deep - Artificial Neural Network