| GoLearn | regommend | |
|---|---|---|
| 3 | - | |
| 9,268 | 313 | |
| - | - | |
| 0.0 | 0.0 | |
| 9 months ago | about 5 years ago | |
| Go | Go | |
| MIT License | GNU Affero General Public License v3.0 |
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.
GoLearn
- Machine Learning
- GoLang AI/ML open source projects
-
Multi-layer neural network from scratch in Go
If you're curious about a more robust machine learning library in Go, https://github.com/sjwhitworth/golearn is a quite feature-rich option.
regommend
We haven't tracked posts mentioning regommend yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.
gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
sklearn - bits of sklearn ported to Go #golang
goga - Golang Genetic Algorithm
goml - On-line Machine Learning in Go (and so much more)
go-pr - Pattern recognition package in Go lang.
neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.
CloudForest - Ensembles of decision trees in go/golang.
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
go-galib - Genetic Algorithms library written in Go / golang
randomforest - Random Forest implementation in golang