spaGO
go-nlp
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spaGO
- Machine Learning
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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
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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!
go-nlp
We haven't tracked posts mentioning go-nlp yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
prose - :book: A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity extraction.
go-i18n - Translate your Go program into multiple languages.
universal-translator - :speech_balloon: i18n Translator for Go/Golang using CLDR data + pluralization rules
gse - Go efficient multilingual NLP and text segmentation; support English, Chinese, Japanese and others.
sentences - A multilingual command line sentence tokenizer in Golang
paicehusk - Golang implementation of the Paice/Husk Stemming Algorithm
textcat - A Go package for n-gram based text categorization, with support for utf-8 and raw text
dpar - Neural network transition-based dependency parser (in Rust)
RAKE.go - A Go port of the Rapid Automatic Keyword Extraction algorithm (RAKE)
segment - A Go library for performing Unicode Text Segmentation as described in Unicode Standard Annex #29
icu - Cgo binding for icu4c library