Our great sponsors
| goga | go-deep | |
|---|---|---|
| 1 | - | |
| 210 | 516 | |
| - | - | |
| 0.0 | 3.5 | |
| about 2 years ago | 3 months ago | |
| Go | Go | |
| GNU General Public License v3.0 only | 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.
goga
go-deep
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Tracking mentions began in Dec 2020.
What are some alternatives?
gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.
godist - Probability distributions and associated methods in Go
tfgo - Tensorflow + Go, the gopher way
goml - On-line Machine Learning in Go (and so much more)
go-fann - Go bindings for FANN, library for artificial neural networks
regommend - Recommendation engine for Go
shield - Bayesian text classifier with flexible tokenizers and storage backends for Go
neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.
bayesian - Naive Bayesian Classification for Golang.
GoLearn - Machine Learning for Go