Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
PyO3-based Rust bindings of the NumPy C-API
Rust crates for the H3 geospatial indexing system
Computer vision library built on top of ndarray
An n-dimensional rust tensor library
A Rust Library for High-Performance Tensor Exchange with Python
A high performance N-dimensional array library for Rust
Proc-macro based einsum implementation for rust-ndarray
Towards fully autonomous driving (WIP)
DLPack safe Rust binding
➗ Powerful math library for Deno (WIP)
A simple implementation of Kalman filter and RTS smoother in Rust (ndarray)
A small, educational library for neural networks, implemented from zero in pure Rust.
Iterative optimization library
VectraDB: Fast, Persistent, and Rust-Powered Vector Database with REST, gRPC, and Python Client Support
Add a description, image, and links to the ndarray topic page so that developers can more easily learn about it.
To associate your repository with the ndarray topic, visit your repo's landing page and select "manage topics."