spaGO
Gorgonia
| spaGO | Gorgonia | |
|---|---|---|
| 11 | 21 | |
| 1,693 | 5,333 | |
| - | 1.1% | |
| 0.0 | 2.8 | |
| 4 months ago | 29 days ago | |
| Go | Go | |
| BSD 2-clause "Simplified" License | 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.
spaGO
- Machine Learning
-
ml for text
Take a look into https://github.com/nlpodyssey/spago. If you don't need GPU processing it could fit your needs
- SpaGO: A ML library in pure Go
-
Why can't Go be popular for machine learning?
CGO? Too much overhead in calling C functions (in which you can wrap libtorch or TF C++ code). And too much struggling woth CUDA (actually all GPU stuff). But, there are interesting attempts: https://github.com/gorgonia/gorgonia (I love it most), https://github.com/sugarme/gotch (bindings to libtorch), https://github.com/nlpodyssey/spago.
- Run Hugging Face Models in Go
- Self-Contained Machine Learning and Natural Language Processing Library in Go
- Spice.ai – open-source, time series AI for developers
- Show HN: Experiments on Machine Translation in Pure Go
- Experiments on Machine Translation in pure Go!
Gorgonia
-
Machine Learning en GO! 🤯
GitHub - gorgonia/gorgonia: Gorgonia is a library that helps facilitate machine learning in Go.
-
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
-
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
-
[D] When was the last time you wrote a custom neural net?
Oh it's.Gorgonia
-
Most Popular GoLang Frameworks
Website: https://gorgonia.org
-
[D] What framework are you using?
I use Gorgonia.
-
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...
-
Neural networks in golang
Yep, all of them: https://github.com/gorgonia/gorgonia
What are some alternatives?
go-nlp
onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
prose - :book: A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity extraction.
GoLearn - Machine Learning for Go
universal-translator - :speech_balloon: i18n Translator for Go/Golang using CLDR data + pluralization rules
tfgo - Tensorflow + Go, the gopher way
go-i18n - Translate your Go program into multiple languages.
goml - On-line Machine Learning in Go (and so much more)
paicehusk - Golang implementation of the Paice/Husk Stemming Algorithm
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
dpar - Neural network transition-based dependency parser (in Rust)
bayesian - Naive Bayesian Classification for Golang.