Showing 5 of 5 projects
An automated machine learning library that trains and deploys high-accuracy models for tabular, text, image, and time series data with minimal code.
A small, statically-typed, functional programming language designed for embedding in Rust applications.
A collection of web component libraries for building GraphQL-powered UIs with Apollo Client.
.NET Standard bindings for Apache MXNet, providing C# developers with NumPy-compatible APIs for machine learning model development, training, and deployment.
MXNet bindings for the Crystal programming language, enabling deep learning and machine learning development.
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