|8 days ago||about 1 month ago|
|Apache License 2.0||MIT License|
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How to train a model for object detection in Golang?
2 projects | reddit.com/r/golang | 16 May 2022
https://github.com/galeone/tfgo here is a very good tutorial. I would suggest starting there.
What libraries from other languages do you wish were ported over into go?
13 projects | reddit.com/r/golang | 27 Jul 2021
Tensorflow is actually written in C++, and the python package is just bindings to tensorflow. There are Tensorflow Go bindings: https://github.com/galeone/tfgo.
Using Time series to make predictions
1 project | reddit.com/r/golang | 16 Jan 2021
have you tried your hands at [galeone/tfgo](https://github.com/galeone/tfgo); I've just hello-world it... so can't vouch on efficiency
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.
regommend - Recommendation engine for Go
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
bayesian - Naive Bayesian Classification for Golang.
go-fann - Go bindings for FANN, library for artificial neural networks