goRecommend VS m2cgen

Compare goRecommend vs m2cgen and see what are their differences.


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


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 (by BayesWitnesses)
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goRecommend m2cgen
0 1
182 2,100
- 1.4%
0.0 8.1
almost 8 years ago 1 day ago
Go Python
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 m2cgen. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing goRecommend and m2cgen you can also consider the following projects:

TensorFlow.NET - .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.

sklearn - bits of sklearn ported to Go #golang

gorse - An open source recommender system service written in Go

fonet - fonet is a deep neural network package for Go.

R Provider - Access R packages from F#

godist - Probability distributions and associated methods in Go

Synapses - A group of neural-network libraries for functional and mainstream languages

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

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

ML.NET - ML.NET is an open source and cross-platform machine learning framework for .NET.

Infer.NET - UAI 2015. Kernel-based just-in-time learning for expectation propagation

golinear - liblinear bindings for Go