Our great sponsors
| golinear | go-deep | |
|---|---|---|
| - | - | |
| 44 | 510 | |
| - | - | |
| 0.0 | 3.5 | |
| over 5 years ago | 3 months ago | |
| Go | Go | |
| GNU General Public License v3.0 or later | MIT License |
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.
golinear
We haven't tracked posts mentioning golinear yet.
Tracking mentions began in Dec 2020.
go-deep
We haven't tracked posts mentioning go-deep yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
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Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.
goml - On-line Machine Learning in Go (and so much more)
tfgo - Tensorflow + Go, the gopher way
GoLearn - Machine Learning for Go
go-fann - Go bindings for FANN, library for artificial neural networks
bayesian - Naive Bayesian Classification for Golang.
shield - Bayesian text classifier with flexible tokenizers and storage backends for Go
go-galib - Genetic Algorithms library written in Go / golang
neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.
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