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Tracking mentions began in Dec 2020.
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.
GoLearn - Machine Learning for Go
Varis - Golang Neural Network
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
go-deep - Artificial Neural Network
neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.
shield - Bayesian text classifier with flexible tokenizers and storage backends for Go
gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
goRecommend - Collaborative Filtering (CF) Algorithms in Go!
goml - On-line Machine Learning in Go (and so much more)