godist VS m2cgen

Compare godist vs m2cgen and see what are their differences.

godist

Probability distributions and associated methods in Go (by e-dard)

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)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern API for authentication & user identity.
  • Onboard AI - ChatGPT with full context of any GitHub repo.
godist m2cgen
0 8
36 2,687
- 0.7%
0.0 0.0
almost 9 years ago 4 months 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.

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.

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 2023-05-02.

What are some alternatives?

When comparing godist 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#.

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

R Provider - Access R packages from F#

gorse - Gorse open source recommender system engine

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

randomforest - Random Forest implementation in golang

goRecommend - Collaborative Filtering (CF) Algorithms in Go!

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

sklearn - bits of sklearn ported to Go #golang

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

AForge.NET - AForge.NET Framework is a C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, machine learning, robotics, etc.

neat