gosseract
Go package for OCR (Optical Character Recognition), by using Tesseract C++ library (by otiai10)
Gorgonia
Gorgonia is a library that helps facilitate machine learning in Go. (by gorgonia)
Our great sponsors
| gosseract | Gorgonia | |
|---|---|---|
| 1 | 10 | |
| 1,785 | 4,526 | |
| - | 1.0% | |
| 3.9 | 5.7 | |
| about 2 months ago | about 1 month ago | |
| Go | Go | |
| MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
gosseract
Posts with mentions or reviews of gosseract.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-20.
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Is it possible to detect text and edit from image in golang?
For the former a brief google search produces this: https://github.com/otiai10/gosseract. I can't remember if those are the same bindings I used before.
Gorgonia
Posts with mentions or reviews of Gorgonia.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-15.
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What do you use Go for?
For machine learning, I use https://gorgonia.org/. For games, I use https://ebiten.org/ For GUIs, I usually use https://fyne.io/ . This (https://github.com/avelino/awesome-go) is a good resource too.
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What type of software do you write at your workplace?
p/s I am the main contributor to Gorgonia which is a pure Go deep learning library that somewhat predates TensorFlow
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Which library/project do you wish was ported to golang?
There’s always Gorgonia. just not TF compatible
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[D] Looking for open source projects to contribute
If you know Go, Gorgonia is a pure Go framework for doing deep learning and various other autograd related things. I'd see it as a bastard baby of PyTorch and TensorFlow. We're always looking for new contributors.
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16GB vs 32GB RAM M1 Pro MacBook - Multitasking RAM Test
Also check out the (Gorgonia)[https://github.com/gorgonia/gorgonia] project if you're not familiar with ML in Go, it's a lot of fun and our basis (with contributions back of course =D)
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Is Go a good language for a beginner in machine learning?
But Gorgonia for Go is pretty neat also, but more niche.
gorgonia is a good place to look for machine learning resources in Go, with a very friendly community too.
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Functional Options are named args on steroids
Btw, Gorgonia project is an example of this pattern.
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Help with studying AI in go
I've heard good things about Gorgonia -- same u/ck_46 mentions below. I'm itching to give it a try!
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Tensorflow
I would recommend looking at Goronia https://github.com/gorgonia/gorgonia
What are some alternatives?
When comparing gosseract and Gorgonia you can also consider the following projects:
GoLearn - Machine Learning 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.
goml - On-line Machine Learning in Go (and so much more)
tfgo - Tensorflow + Go, the gopher way
go-deep - Artificial Neural Network
gorse - An open source recommender system service written in Go
go-fann - Go bindings for FANN, library for artificial neural networks
gobrain - Neural Networks written in go
sklearn - bits of sklearn ported to Go #golang
neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.