go-readability
Gorgonia
| go-readability | Gorgonia | |
|---|---|---|
| 2 | 21 | |
| 131 | 5,350 | |
| - | 0.9% | |
| 0.0 | 2.5 | |
| almost 2 years ago | about 1 month ago | |
| HTML | Go | |
| - | 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.
go-readability
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Which library/project do you wish was ported to golang?
https://github.com/go-shiori/go-readability https://github.com/mauidude/go-readability
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Blog with Markdown and Git, and degrade gracefully through time
In terms of extracting the actual blog content from pages, there is a go library that implements the readability algorithm:
https://github.com/mauidude/go-readability
This is the kind of thing pocket/instapaper do to extract the main content from a page in a format that's easier to read (and also probably to programmatically modify)
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?
docs - This is a repo of the RetroArch official document page.
onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
website - The Caddy website
GoLearn - Machine Learning for Go
blissue - A blog based on github issues
tfgo - Tensorflow + Go, the gopher way
simonwillisonblog-backup - Backups of the database for simonwillison.net
goml - On-line Machine Learning in Go (and so much more)
temporalite-archived - An experimental distribution of Temporal that runs as a single process
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
bdv32 - This is my website
bayesian - Naive Bayesian Classification for Golang.