colfer
Gorgonia
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| colfer | Gorgonia | |
|---|---|---|
| 1 | 21 | |
| 731 | 5,333 | |
| - | 1.1% | |
| 4.4 | 2.8 | |
| 4 months ago | 25 days ago | |
| Java | Go | |
| Creative Commons Zero v1.0 Universal | 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.
colfer
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What type of software do you write at your workplace?
https://github.com/pascaldekloe/colfer high-perf binary sesialization format (for internal on-disk data storage).
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?
goprotobuf - Go support for Google's protocol buffers
onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
gogoprotobuf - [Deprecated] Protocol Buffers for Go with Gadgets
GoLearn - Machine Learning for Go
go-codec - idiomatic codec and rpc lib for msgpack, cbor, json, etc. msgpack.org[Go]
tfgo - Tensorflow + Go, the gopher way
go-capnproto - Cap'n Proto library and parser for go. This is go-capnproto-1.0, and does not have rpc. See https://github.com/zombiezen/go-capnproto2 for 2.0 which has rpc and capabilities.
goml - On-line Machine Learning in Go (and so much more)
jsoniter - A high-performance 100% compatible drop-in replacement of "encoding/json"
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
asn1
bayesian - Naive Bayesian Classification for Golang.