bloomfilter-rb VS ruby-fann

Compare bloomfilter-rb vs ruby-fann and see what are their differences.

bloomfilter-rb

BloomFilter(s) in Ruby: Native counting filter + Redis counting/non-counting filters (by igrigorik)
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bloomfilter-rb ruby-fann
- 1
471 489
- 2.9%
4.9 6.0
about 2 months ago about 2 months ago
C C
- 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.

bloomfilter-rb

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

We haven't tracked posts mentioning bloomfilter-rb yet.
Tracking mentions began in Dec 2020.

ruby-fann

Posts with mentions or reviews of ruby-fann. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-13.

What are some alternatives?

When comparing bloomfilter-rb and ruby-fann you can also consider the following projects:

decisiontree - ID3-based implementation of the ML Decision Tree algorithm

AI4R - Artificial Intelligence for Ruby - A Ruby playground for AI researchers

Sysrandom

Ruby Units - A unit handling library for ruby

BioRuby - bioruby

Nerve - This is a basic implementation of a neural network for use in C and C++ programs. It is intended for use in applications that just happen to need a simple neural network and do not want to use needlessly complex neural network libraries.

lab - A customisable 3D platform for agent-based AI research

bhook - :fire: ByteHook is an Android PLT hook library which supports armeabi-v7a, arm64-v8a, x86 and x86_64.

XNNPACK - High-efficiency floating-point neural network inference operators for mobile, server, and Web

TrainInvaders - 👾 Jupyter Notebook + Space Invaders!?

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