mab VS GoLearn

Compare mab vs GoLearn and see what are their differences.

mab

Library for multi-armed bandit selection strategies, including efficient deterministic implementations of Thompson sampling and epsilon-greedy. (by stitchfix)

GoLearn

Machine Learning for Go (by sjwhitworth)
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mab GoLearn
2 3
48 9,183
- -
0.0 0.0
4 days ago 4 months ago
Go Go
Apache License 2.0 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.

mab

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

GoLearn

Posts with mentions or reviews of GoLearn. 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 mab and GoLearn you can also consider the following projects:

hack-technicolor - Hacking Technicolor Gateways wiki repository

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

heimdall - An enhanced HTTP client for Go

sklearn - bits of sklearn ported to Go #golang

exposure-notifications-server - Exposure Notification Reference Server | Covid-19 Exposure Notifications

goml - On-line Machine Learning in Go (and so much more)

spaGO - Self-contained Machine Learning and Natural Language Processing library in Go

neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.

mlgo - Machine Learning with Go (golang) Session Material for GOLAB 2018

gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library

randomforest - Random Forest implementation in golang