jsondiff
Gorgonia
jsondiff | Gorgonia | |
---|---|---|
1 | 21 | |
207 | 5,356 | |
- | 1.0% | |
1.4 | 2.5 | |
about 1 year ago | about 1 month ago | |
Go | Go | |
MIT License | Apache License 2.0 |
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jsondiff
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What type of software do you write at your workplace?
I currently work for a company that provides a security operations center to major corporations and governments. In my current role, the most important language is Python since any non-developer in our company still often knows Python due to the nature of their work, but I wrote a reasonably complicated Lambda in Go and have contributed to some Go open source projects we depend upon (Argo). There are a range of libraries I've used from github.com/nsf/jsondiff to AWS SDK stuff to Zap (a logging lib from Uber) to Hashicorp Vault stuff and testify for testing purposes. I've also had to use yaml, and I used the K8s library for that. I can't think of too much else I've used outside the standard library offhand.
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?
Testify - A toolkit with common assertions and mocks that plays nicely with the standard library
onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
goleveldb - LevelDB key/value database in Go.
GoLearn - Machine Learning for Go
pq - Pure Go Postgres driver for database/sql
tfgo - Tensorflow + Go, the gopher way
PlatformIO - Your Gateway to Embedded Software Development Excellence :alien:
goml - On-line Machine Learning in Go (and so much more)
viper - Go configuration with fangs
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
bayesian - Naive Bayesian Classification for Golang.
go-deep - Artificial Neural Network