GoLearn
bayesian
GoLearn | bayesian | |
---|---|---|
3 | - | |
9,312 | 805 | |
- | - | |
0.0 | 2.3 | |
about 1 year ago | about 1 year ago | |
Go | Go | |
MIT License | GNU General Public License v3.0 or later |
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.
bayesian
We haven't tracked posts mentioning bayesian yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.
sklearn - bits of sklearn ported to Go #golang
go-fann - Go bindings for FANN, library for artificial neural networks
goml - On-line Machine Learning in Go (and so much more)
gobrain - Neural Networks written in go
neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.
goga - Golang Genetic Algorithm
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
golinear - liblinear bindings for Go
randomforest - Random Forest implementation in golang
shield - Bayesian text classifier with flexible tokenizers and storage backends for Go