NArray VS ruby-fann

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

NArray

This repository contains OLD version of NArray. Please visit NEW version => (by masa16)
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NArray ruby-fann
- 1
171 489
- 4.1%
0.0 6.0
almost 7 years ago about 1 month 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.

NArray

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

We haven't tracked posts mentioning NArray 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 NArray and ruby-fann you can also consider the following projects:

mdarray - Multidimensional array similar to NumPy and NArray

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

NMatrix - Dense and sparse linear algebra library for Ruby via SciRuby

Ruby Units - A unit handling library for ruby

SciRuby - Tools for scientific computation in Ruby

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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