An alternative to derive-builder
0.1 release was just announced: https://github.com/EmbarkStudios/rust-gpu/releases/tag/v0.1
Online demo can be found here:
Allows applications to better declare their intentions programmatically for harder-to-abuse interfaces.
Vec but with strongly typed indices, e.g. instead of
Vec<CpuUsage> // Indexed by CPU core you can do
TiVec<CpuCoreId, CpuUsage>. It prevents accidentally using the wrong index type, which is a common source of bugs.
Despite how useful it is (and IMO should be in std), it has 0 stars and only 300 downloads.
Rustc uses something similar: https://doc.rust-lang.org/nightly/nightly-rustc/rustc_index/vec/struct.IndexVec.html
Somehow this has never been suggested (or I didn't find it ). A neural network inference library, written purely in Rust for models in ONNX, NNEF and TF formats. Very extensive support for many different operators and comparable speed to the onnxruntime Python package.
Also compiles to WebAssembly and has JS bindings (https://github.com/bminixhofer/tractjs).
IMO the most important crate for working with Neural Networks in Rust. Support for inference of other ML models such as Decision Trees is also coming up.