Gorgonia VS go-deep

Compare Gorgonia vs go-deep and see what are their differences.

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Gorgonia go-deep
21 0
5,111 469
0.8% -
0.0 0.0
10 days ago 5 months ago
Go Go
Apache License 2.0 MIT License
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.

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 2023-02-06.
  • Machine Learning
    8 projects | /r/golang | 6 Feb 2023
    I did end up writing and using a custom library for Random Forest (it's also in AwesomGo) in one real-world project (detecting Alzheimer's and Parkinson's from speech from a mobile app) - https://github.com/malaschitz/randomForest I had better results than the team who used TensorFlow and most importantly I didn't have to use any other technology than Go. For NN's it's probably best to use https://gorgonia.org/ - but it's not exactly a user friendly library. But there is a whole book on it - Hands-On Deep Learning with Go.
  • Why isn’t Go used in AI/ML?
    8 projects | /r/golang | 23 Dec 2022
  • GoLang AI/ML open source projects
    7 projects | /r/golang | 18 Dec 2022
  • A systematic framework for technical documentation authoring
    3 projects | news.ycombinator.com | 23 Nov 2022
    Perhaps it's a product of French culture, but because Gorgonia[0] has a number of French contributors, this was actually the way we structured our documentation.

    But this is the first time I've heard of the name of the framework.

    [0]: https://gorgonia.org

  • Most Popular GoLang Frameworks
    13 projects | dev.to | 20 Sep 2022
    Website: https://gorgonia.org
  • [D] What framework are you using?
    3 projects | /r/MachineLearning | 17 Aug 2022
    I use Gorgonia.
  • Why can't Go be popular for machine learning?
    6 projects | /r/golang | 22 Jul 2022
    CGO? Too much overhead in calling C functions (in which you can wrap libtorch or TF C++ code). And too much struggling woth CUDA (actually all GPU stuff). But, there are interesting attempts: https://github.com/gorgonia/gorgonia (I love it most), https://github.com/sugarme/gotch (bindings to libtorch), https://github.com/nlpodyssey/spago.
    6 projects | /r/golang | 22 Jul 2022
    What you think about this https://github.com/gorgonia/gorgonia ? I also recall there is something else out there but can't find it at the moment...
  • Neural networks in golang
    3 projects | /r/golang | 8 Jul 2022
    Yep, all of them: https://github.com/gorgonia/gorgonia
  • What do you use Go for?
    11 projects | /r/golang | 15 Apr 2022
    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.

go-deep

Posts with mentions or reviews of go-deep. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning go-deep yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Gorgonia and go-deep you can also consider the following projects:

onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.

GoLearn - Machine Learning for Go

tfgo - Tensorflow + Go, the gopher way

goml - On-line Machine Learning in Go (and so much more)

gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library

bayesian - Naive Bayesian Classification for Golang.

gorse - Gorse open source recommender system engine

shield - Bayesian text classifier with flexible tokenizers and storage backends for Go

neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.

sklearn - bits of sklearn ported to Go #golang

go-fann - Go bindings for FANN, library for artificial neural networks