Easy to use, efficient, and highly flexible automatic differentiation in Rust
Easy to use, efficient, and highly flexible automatic differentiation in Rust
A high-performance automatic differentiation library for Rust
Rust native core model for the AWS Smithy IDL.
A very simple document model and markup generator.
Adding traits to make parsing types easier
This crate provides the core RDF data model; concrete implementations for Statements and Literals, along with a Resource type that provides a builder-like experience for models.
Basic Atom (string) registry for use with ID strings. For when an application contains and passes around many constant strings (mainly de/serialized strings), this should reduce the overall memory footprint and slightly increase cache usage
This crate provides the core RDF data model; concrete implementations for Statements and Literals, along with a Resource type that provides a builder-like experience for models.
Statistics, Information Measures, Data Analysis, Linear Algebra, Clifford Algebra, Machine Learning, Geometric Median, Matrix Decompositions, Mahalanobis Distance, Hulls, Multithreading..
Scan your Rust crate for semver violations.
InterlockLedger's ILTag implementation in Rust.