goRecommend VS Gorgonia

Compare goRecommend vs Gorgonia and see what are their differences.

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Nutrient - The #1 PDF SDK Library
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goRecommend Gorgonia
- 22
206 5,633
- 0.7%
0.0 1.1
over 10 years ago 6 months 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.

goRecommend

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

We haven't tracked posts mentioning goRecommend yet.
Tracking mentions began in Dec 2020.

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 2024-11-17.
  • ML in Go with a Python Sidecar
    6 projects | news.ycombinator.com | 17 Nov 2024
    For Go specifically, there are some libraries like Gorgonia (https://github.com/gorgonia/gorgonia) that can do inference.

    Practically speaking though, the rate at which models change is so fast that if you opt to go this route, you'll perpetually be lagging behind the state of the art by just a bit. Either you'll be the one implementing the latest improvements or be waiting for the framework to catch up. This is the real value of the sidecar approach: when a new technique comes out (like speculative decoding, for example) you don't need to reimplement it in Go but instead can use the implementation that most other python users will use.

  • Machine Learning en GO! 🤯
    1 project | /r/golangspanish | 26 Apr 2023
    GitHub - gorgonia/gorgonia: Gorgonia is a library that helps facilitate machine learning in Go.
  • 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

  • [D] When was the last time you wrote a custom neural net?
    1 project | /r/MachineLearning | 13 Nov 2022
    Oh it's.Gorgonia
  • 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
    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...

What are some alternatives?

When comparing goRecommend and Gorgonia you can also consider the following projects:

go-pr - Pattern recognition package in Go lang.

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

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

GoLearn - Machine Learning for Go

gobrain - Neural Networks written in go

tfgo - Tensorflow + Go, the gopher way

godist - Probability distributions and associated methods in Go

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

m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

bayesian - Naive Bayesian Classification for Golang.

Varis - Golang Neural Network

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

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Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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Nutrient - The #1 PDF SDK Library
Bad PDFs = bad UX. Slow load times, broken annotations, clunky UX frustrates users. Nutrient’s PDF SDKs gives seamless document experiences, fast rendering, annotations, real-time collaboration, 100+ features. Used by 10K+ devs, serving ~half a billion users worldwide. Explore the SDK for free.
nutrient.io
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the 4th most popular programming language
based on number of references?