candice
Gorgonia
| candice | Gorgonia | |
|---|---|---|
| 1 | 21 | |
| 5 | 5,350 | |
| - | 0.9% | |
| 2.4 | 2.5 | |
| 10 months ago | about 1 month ago | |
| Go | Go | |
| Apache License 2.0 | Apache License 2.0 |
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candice
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What type of software do you write at your workplace?
I created Turandot, Candice, Reposure, Knap, CNCK, QCR, multusctl, and a whole bunch of dependent libraries, and also participate in a bunch of other K8s-related projects.
Gorgonia
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Machine Learning en GO! 🤯
GitHub - gorgonia/gorgonia: Gorgonia is a library that helps facilitate machine learning in Go.
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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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[D] When was the last time you wrote a custom neural net?
Oh it's.Gorgonia
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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?
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
What are some alternatives?
ozzo-validation - An idiomatic Go (golang) validation package. Supports configurable and extensible validation rules (validators) using normal language constructs instead of error-prone struct tags.
onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
gqlgen - go generate based graphql server library
GoLearn - Machine Learning for Go
vcluster - vCluster - Create fully functional virtual Kubernetes clusters - Each vcluster runs inside a namespace of the underlying k8s cluster. It's cheaper than creating separate full-blown clusters and it offers better multi-tenancy and isolation than regular namespaces.
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.
go-deep - Artificial Neural Network
gorse - Gorse open source recommender system engine
shield - Bayesian text classifier with flexible tokenizers and storage backends for Go