m2cgen VS Synapses

Compare m2cgen vs Synapses and see what are their differences.

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 (by BayesWitnesses)
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m2cgen Synapses
6 1
2,355 65
1.8% -
6.5 0.0
10 days ago over 1 year ago
Python Elixir
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.

m2cgen

Posts with mentions or reviews of m2cgen. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-22.

Synapses

Posts with mentions or reviews of Synapses. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-01.

What are some alternatives?

When comparing m2cgen and Synapses 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#.

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

gorse - An open source recommender system service written in Go

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

R Provider - Access R packages from F#

sklearn - bits of sklearn ported to Go #golang

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

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

goRecommend - Collaborative Filtering (CF) Algorithms in Go!

randomforest - Random Forest implementation in golang

go-featureprocessing - 🔥 Fast, simple sklearn-like feature processing for Go

Brain.js - [UNMAINTAINED] Simple feed-forward neural network in JavaScript