crystal-data/num.cr
Scientific computing in pure Crystal
This is a fundamental building block for developers creating scientific computing applications with Crystal. It allows you to process and manipulate multi-dimensional datasets, perform complex mathematical calculations, and leverage specialized hardware like GPUs. Developers use this to build applications that handle numerical data, from basic arithmetic to advanced machine learning models.
160 stars. No commits in the last 6 months.
Use this if you are a Crystal developer building applications that require high-performance numerical operations, data manipulation, or machine learning capabilities.
Not ideal if you are not a Crystal developer or are looking for a ready-to-use application rather than a programming library.
Stars
160
Forks
13
Language
Crystal
License
MIT
Category
Last pushed
Jun 20, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/crystal-data/num.cr"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
JonathanRaiman/theano_lstm
:microscope: Nano size Theano LSTM module
google/tangent
Source-to-Source Debuggable Derivatives in Pure Python
ahrefs/ocannl
OCANNL: OCaml Compiles Algorithms for Neural Networks Learning
yoshoku/numo-openblas
Numo::OpenBLAS builds and uses OpenBLAS as a background library for Numo::Linalg
statusfailed/catgrad
a categorical deep learning compiler