Gorgonia
Iris
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Gorgonia | Iris | |
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21 | 14 | |
5,304 | 24,792 | |
1.1% | - | |
2.8 | 9.0 | |
7 days ago | 15 days ago | |
Go | Go | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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
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Machine Learning
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?
- GoLang AI/ML open source projects
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A systematic framework for technical documentation authoring
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
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Most Popular GoLang Frameworks
Website: https://gorgonia.org
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[D] What framework are you using?
I use Gorgonia.
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Why can't Go be popular for machine learning?
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.
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...
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Neural networks in golang
Yep, all of them: https://github.com/gorgonia/gorgonia
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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.
Iris
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How to Use Iris and PostgreSQL for Web Development
Iris is a fast and lightweight web framework for Go that offers a rich set of features and a high-performance engine. PostgreSQL is a powerful and reliable relational database system that supports advanced data types and functions. Together, they can form a solid foundation for building modern web applications.
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go-mir - a toolkit to develop RESTful API backend service like develop service of gRPC
Mir is a toolkit to develop RESTful API backend service like develop service of gRPC. It adapt some HTTP framework sush as Gin, Chi, Hertz, Echo, Iris, Fiber, Macaron, Mux, httprouter。
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Iris VS Don - a user suggested alternative
2 projects | 15 Mar 2023
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A bit about Go Programing language
Iris
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Chi , gin , mux , fiber or standard library ?
Check Iris (https://github.com/kataras/iris) before you decide.
- Does Go have a widely used framework, or it's used without anything?
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Most Popular GoLang Frameworks
Website: https://www.iris-go.com
- How to handle Permissions/roles with Golang web?
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Best Golang Web Framework for Larg Projects
Iris
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What's the fastest template parser in Go?
Ace
What are some alternatives?
Gin - Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.
Fiber - ⚡️ Express inspired web framework written in Go
Beego - beego is an open-source, high-performance web framework for the Go programming language.
Echo - High performance, minimalist Go web framework
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
Revel - A high productivity, full-stack web framework for the Go language.
mux - A powerful HTTP router and URL matcher for building Go web servers with 🦍
chi - lightweight, idiomatic and composable router for building Go HTTP services
go-kit - A standard library for microservices.
Buffalo - Rapid Web Development w/ Go
tfgo - Tensorflow + Go, the gopher way