gota
Gorgonia
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gota | Gorgonia | |
---|---|---|
4 | 21 | |
2,927 | 5,333 | |
2.0% | 1.1% | |
0.0 | 2.8 | |
9 months ago | 23 days ago | |
Go | Go | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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.
gota
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Looking for some help on querying slice of map[string]any using group by fields and aggregate functions
Is the Gota project still maintained?
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What libraries are missing?
Could give this a try https://github.com/go-gota/gota
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Is Go a good language for a beginner in machine learning?
I did find a dataframe library for Go: gota. But compared to Pandas, it's API was just plain ugly, imo. Ofcourse it's further complicated by the fact that this doesn't use generics yet, so further uglified by interface{} littered everywhere.
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Useful Go data engineering libraries
Maybe look at https://github.com/go-gota/gota for a start.
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?
golang-set - A simple, battle-tested and generic set type for the Go language. Trusted by Docker, 1Password, Ethereum and Hashicorp.
onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
go-adaptive-radix-tree - Adaptive Radix Trees implemented in Go
GoLearn - Machine Learning for Go
gods - GoDS (Go Data Structures) - Sets, Lists, Stacks, Maps, Trees, Queues, and much more
tfgo - Tensorflow + Go, the gopher way
gocache - ☔️ A complete Go cache library that brings you multiple ways of managing your caches
goml - On-line Machine Learning in Go (and so much more)
go-datastructures - A collection of useful, performant, and threadsafe Go datastructures.
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
algorithms - CLRS study. Codes are written with golang.
bayesian - Naive Bayesian Classification for Golang.