mxnet.cr VS shainet

Compare mxnet.cr vs shainet and see what are their differences.

mxnet.cr

MXNet (AI/ML) bindings for the Crystal language. (by toddsundsted)
Our great sponsors
  • Scout APM - Less time debugging, more time building
  • SonarQube - Static code analysis for 29 languages.
  • SaaSHub - Software Alternatives and Reviews
mxnet.cr shainet
0 0
20 158
- 0.6%
1.5 0.0
10 months ago 2 months ago
Crystal Crystal
GNU General Public License v3.0 or later 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.

mxnet.cr

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

We haven't tracked posts mentioning mxnet.cr yet.
Tracking mentions began in Dec 2020.

shainet

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

We haven't tracked posts mentioning shainet yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing mxnet.cr and shainet you can also consider the following projects:

ai4cr - Artificial Intelligence for Crystal (based on https://github.com/SergioFierens/ai4r)

grey_matter - Grey Matter is a basic artificial neural network library for Crystal.

crystal-fann - FANN (Fast Artifical Neural Network) binding in Crystal

Cadmium - Natural Language Processing (NLP) library for Crystal

autogluon - AutoGluon: AutoML for Image, Text, and Tabular Data

dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).