probab VS go-deep

Compare probab vs go-deep and see what are their differences.

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probab go-deep
- -
19 517
- -
0.0 3.5
over 8 years ago 4 months ago
Go Go
BSD 3-clause "New" or "Revised" 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.

probab

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

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

go-deep

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

We haven't tracked posts mentioning go-deep yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing probab and go-deep you can also consider the following projects:

CloudForest - Ensembles of decision trees in go/golang.

Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.

GoLearn - Machine Learning for Go

tfgo - Tensorflow + Go, the gopher way

go-galib - Genetic Algorithms library written in Go / golang

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

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

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

gorse - Gorse open source recommender system engine

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

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