GoLearn
mlgo
| GoLearn | mlgo | |
|---|---|---|
| 3 | 1 | |
| 9,161 | 16 | |
| - | - | |
| 0.0 | 0.0 | |
| 4 months ago | about 1 year ago | |
| Go | Makefile | |
| MIT License | 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.
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.
mlgo
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
mab - Library for multi-armed bandit selection strategies, including efficient deterministic implementations of Thompson sampling and epsilon-greedy.
spaGO - Self-contained Machine Learning and Natural Language Processing library in Go
neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.
dataframe-go - DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
randomforest - Random Forest implementation in golang