GoMind
GoLearn
Our great sponsors
| GoMind | GoLearn | |
|---|---|---|
| 1 | 3 | |
| 72 | 9,155 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 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.
GoMind
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.
What are some alternatives?
bayesian - Naive Bayesian Classification for Golang.
Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.
ocrserver - A simple OCR API server, seriously easy to be deployed by Docker, on Heroku as well
sklearn - bits of sklearn ported to Go #golang
tfgo - Tensorflow + Go, the gopher way
goml - On-line Machine Learning in Go (and so much more)
goRecommend - Collaborative Filtering (CF) Algorithms in Go!
neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.
go-deep - Artificial Neural Network
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
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
randomforest - Random Forest implementation in golang