COOLJAPAN

Posts tagged #automatic-differentiation

2 posts

Jun 5, 2026 · 14 min

NumRS2 0.4.0 Released — Autodiff, Distributed Foundations, In-Browser WASM, and a Quantum-to-FEM Applied-Math Explosion

NumRS2 0.4.0 is the biggest release in the series: forward/reverse automatic differentiation with Hessians and hyperdual numbers, a distributed data/model-parallel framework, WebAssembly bindings that run numerics in the browser, plotters-based visualization, and a vast applied-math expansion — reinforcement learning, quantum computing, computer vision, computational geometry, FEM, wavelets, graphs, information theory, and control systems — all on pure-Rust SciRS2 0.5.0 with 128+ SIMD functions and 3,921+ passing tests.

releasenumrs2numpy
Mar 21, 2026 · 4 min

NumRS2 0.3.1 Released — Pure Rust NumPy Replacement with 222k+ SLoC

High-performance numerical computing library in pure Rust — the production-grade NumPy alternative. 222k+ SLoC, 4,704+ tests, 128+ SIMD-vectorized functions, N-dimensional arrays, advanced linalg via OxiBLAS, automatic differentiation, FFT, GPU (wgpu), Python bindings (PyO3), Arrow interop. 80–172% of OpenBLAS performance, zero C/Fortran deps. The sovereign numerical layer for SciRS2 and the entire COOLJAPAN ecosystem (now 21M+ SLoC total).

releasenumrs2numpy