bayesian
go-featureprocessing
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bayesian | go-featureprocessing | |
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- | 6 | |
785 | 113 | |
- | - | |
2.3 | 5.2 | |
5 months ago | about 1 month ago | |
Go | Go | |
GNU General Public License v3.0 or later | MIT License |
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bayesian
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Tracking mentions began in Dec 2020.
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!
What are some alternatives?
Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.
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
GoLearn - Machine Learning for Go
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
go-fann - Go bindings for FANN, library for artificial neural networks
ocrserver - A simple OCR API server, seriously easy to be deployed by Docker, on Heroku as well
gobrain - Neural Networks written in go
gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
sklearn - bits of sklearn ported to Go #golang
goga - Golang Genetic Algorithm
goml - On-line Machine Learning in Go (and so much more)