go-featureprocessing
gago
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| go-featureprocessing | gago | |
|---|---|---|
| 6 | 1 | |
| 113 | 869 | |
| - | - | |
| 5.2 | 0.0 | |
| about 1 month ago | about 1 year ago | |
| Go | Go | |
| MIT License | MIT License |
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go-featureprocessing
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Machine learning with GOlang
Tabular data is well supported in Go. Tabular data and small sample sizes is a sweet spot for Go. You may squeze in some meaningful performance and good looking code and integrations. Some entry points: (1) https://github.com/nikolaydubina/go-ml-benchmarks (2) https://github.com/dmitryikh/leaves (3) https://github.com/nikolaydubina/go-featureprocessing
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Show HN: Go-Featureprocessing v1.0.0
What is this?
Fast feature preprocessing in Go with feature parity to sklearn
https://github.com/nikolaydubina/go-featureprocessing
What is new?
* Added batch processing
- Feature Processing in Go
- [P] fast and convenient feature processing in Go! I am sure many backend teams are running Go services, if so this should help integration better!
- Fast and convenient library for feature processing in pure Go! I am focusing on single sample processing time, benchmarks and ease of use. Try it out!
gago
What are some alternatives?
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-galib - Genetic Algorithms library written in Go / golang
bayesian - Naive Bayesian Classification for Golang.
goga - Golang Genetic Algorithm
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
ocrserver - A simple OCR API server, seriously easy to be deployed by Docker, on Heroku as well
shield - Bayesian text classifier with flexible tokenizers and storage backends for Go
sklearn - bits of sklearn ported to Go #golang
CloudForest - Ensembles of decision trees in go/golang.
goml - On-line Machine Learning in Go (and so much more)