2 posts
SciRS2 0.5.1 is a correctness and Pure-Rust hardening release: exact autograd gradients for matrix functions (Sylvester / Daleckii–Krein / reduced-SVD VJP), a restored CoreError #[non_exhaustive] contract, honest GPU/CUDA reporting, public Zarr v2/v3, and the removal of the C/MPFR rug, C rusqlite, and tokenizers dependencies. 36,606 tests, zero warnings — the sovereign scientific-computing layer of the COOLJAPAN ecosystem.
ToRSh is a PyTorch-compatible deep-learning framework in pure Rust with native tensor sharding. The 0.1.1 release hardens the 33-crate workspace onto consistent, published crates.io dependencies and adds the new torsh-convert model-converter CLI.