From Julia to Rust: a differentiable tensor stack for scientific computing

tensor4all From Julia to Rust: a differentiable tensor stack for scientific computing in the agentic AI era tenferro-rs is a Rust-native dense tensor stack: linear algebra, PyTorch-style eager autodiff, JAX-style traced transforms, NumPy-style einsum, FFT, extensible operation crates, and explicit CPU/CUDA backends. The first crates are on crates.io as of June 23, 2026 (JST). by Hiroshi Shinaoka (Saitama University), for the tensor4all team 🌐 English · 日本語 · 简体中文 Most tensor-network code has be