spaGO VS leaves

Compare spaGO vs leaves and see what are their differences.

spaGO

Self-contained Machine Learning and Natural Language Processing library in Go (by nlpodyssey)
Natural Language Processing Deep Learning Machine Learning neural-network computation-graph automatic-differentiation Artificial intelligence Deeplearning transformer-architecture recurrent-networks Lstm language-model question-answering Bert bert-as-service NLP automatic-translation bart named-entities-recognition

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leaves

pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks (by dmitryikh)
Machine Learning Lightgbm Xgboost decision-trees boosting Go Golang
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spaGO leaves
11 3
1,693 414
- -
0.0 1.8
4 months ago 10 months ago
Go Go
BSD 2-clause "Simplified" License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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

Posts with mentions or reviews of spaGO. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-06.

leaves

Posts with mentions or reviews of leaves. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-16.
  • ml for text
    2 projects | /r/golang | 16 Nov 2022
  • ML in golang
    1 project | /r/golang | 18 Aug 2021
    For Random Forests https://github.com/dmitryikh/leaves is very good. It is native Go port of XGBoost.
  • Machine learning with GOlang
    6 projects | /r/golang | 5 Apr 2021
    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

What are some alternatives?

When comparing spaGO and leaves you can also consider the following projects:

go-nlp

tflite-golang-gan-example

prose - :book: A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity extraction.

nett - A short and sweet neural network library.

universal-translator - :speech_balloon: i18n Translator for Go/Golang using CLDR data + pluralization rules

go-ml-benchmarks - ⏱ Benchmarks of machine learning inference for Go

go-i18n - Translate your Go program into multiple languages.

tensorflow - An Open Source Machine Learning Framework for Everyone

paicehusk - Golang implementation of the Paice/Husk Stemming Algorithm

go-featureprocessing - 🔥 Fast, simple sklearn-like feature processing for Go

dpar - Neural network transition-based dependency parser (in Rust)

segment - A Go library for performing Unicode Text Segmentation as described in Unicode Standard Annex #29

spaGO vs go-nlp leaves vs tflite-golang-gan-example spaGO vs prose leaves vs nett spaGO vs universal-translator leaves vs go-ml-benchmarks spaGO vs go-i18n leaves vs tensorflow spaGO vs paicehusk leaves vs go-featureprocessing spaGO vs dpar spaGO vs segment