Our great sponsors
| GoLearn | regommend | |
|---|---|---|
| 1 | 0 | |
| 8,434 | 299 | |
| - | - | |
| 1.5 | 0.0 | |
| about 1 month ago | almost 3 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
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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.
goml - On-line Machine Learning in Go (and so much more)
sklearn - bits of sklearn ported to Go #golang
neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.
onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
randomforest - Random Forest implementation in golang
tfgo - Tensorflow + Go, the gopher way
bayesian - Naive Bayesian Classification for Golang.
go-fann - Go bindings for FANN, library for artificial neural networks
golinear - liblinear bindings for Go
go-deep - Artificial Neural Network