go-deep
gorse
| go-deep | gorse | |
|---|---|---|
| - | 8 | |
| 517 | 8,131 | |
| - | 1.9% | |
| 3.5 | 6.7 | |
| 4 months ago | 23 days ago | |
| Go | Go | |
| MIT 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.
go-deep
We haven't tracked posts mentioning go-deep yet.
Tracking mentions began in Dec 2020.
gorse
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Is there already a profile recommendations engine?
[1] https://github.com/gorse-io/gorse
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How to Use AVX512 in Golang
Thanks, @gnabgib. Your comment is very insightful and reminds me of my mentor correcting my academic paper. The post introduces the basic idea of using AVX512 in Go by writing C codes. There are mistakes and many details are omitted. A complete example is https://github.com/gorse-io/gorse/tree/master/base/floats
- [P] Gorse: An open-source recommender system service
- An open source recommender system service written in Go
- [P] An open source recommender system service written in Go
What are some alternatives?
Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.
tfgo - Tensorflow + Go, the gopher way
m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
go-fann - Go bindings for FANN, library for artificial neural networks
sklearn - bits of sklearn ported to Go #golang
neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
shield - Bayesian text classifier with flexible tokenizers and storage backends for Go
GoLearn - Machine Learning for Go
go-cluster - k-modes and k-prototypes clustering algorithms implementation in Go