Crystal Machine Learning

Open-source Crystal projects categorized as Machine Learning | Edit details

Top 7 Crystal Machine Learning Projects

  • GitHub repo Cadmium

    Natural Language Processing (NLP) library for Crystal

  • GitHub repo shainet

    SHAInet - a pure Crystal machine learning library

  • Nanos

    Run Linux Software Faster and Safer than Linux with Unikernels.

  • GitHub repo bottle

    Scientific computing in pure Crystal

    Project mention: A very simple tutorial of the Crystal programming language | dev.to | 2020-11-05

    We are going to use num.cr as the example shard. Num is a core shard used for scientific computing in Crystal

  • GitHub repo crystal-fann

    FANN (Fast Artifical Neural Network) binding in Crystal

  • GitHub repo ai4cr

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

  • GitHub repo mxnet.cr

    MXNet (AI/ML) bindings for the Crystal language.

  • GitHub repo grey_matter

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

  • Scout APM

    Scout APM: A developer's best friend. Try free for 14-days. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2020-11-05.

Index

What are some of the best open-source Machine Learning projects in Crystal? This list will help you:

Project Stars
1 Cadmium 181
2 shainet 152
3 bottle 96
4 crystal-fann 77
5 ai4cr 24
6 mxnet.cr 19
7 grey_matter 9
Find remote jobs at our new job board 99remotejobs.com. There are 34 new remote jobs listed recently.
Are you hiring? Post a new remote job listing for free.
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com