mlreef VS spaGO

Compare mlreef vs spaGO and see what are their differences.

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mlreef spaGO
4 11
1,442 1,693
0.0% -
0.0 0.0
over 1 year ago 3 months ago
Kotlin Go
GNU General Public License v3.0 or later BSD 2-clause "Simplified" 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.

mlreef

Posts with mentions or reviews of mlreef. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

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

machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.

go-nlp

Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.

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

Best_AI_paper_2020 - A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

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

datascience - Curated list of Python resources for data science.

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

pycm - Multi-class confusion matrix library in Python

paicehusk - Golang implementation of the Paice/Husk Stemming Algorithm

100DaysOfML - 100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building

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