AutomataNexus

6 ms·

1. 1.▲
   by AutomataNexus 7mo ago

   Hijacob, AxonML author here. Our autograd is ~3K lines of Rust. Here's the actual architecture: Three core pieces: 1. The GradientFunction trait — every differentiable op implements this: pub trait GradientFunction: Debug + S
2. 2.▲
   by AutomataNexus 7mo ago

   Hi HN. I've been building AxonML for a bit now, testing often, and it's at v0.3.3 now -- 22 crates, 336 Rust source files, 1,076+ passing tests. It's a from-scratch ML framework in pure Rust aiming for PyTorch parity, dual li
3. 3.▲
   Show HN: AxonML – A PyTorch-equivalent ML framework written in Rust(github.com)

   4 points by AutomataNexus 7mo ago|3 comments
4. 4.▲
   by AutomataNexus 7mo ago

   Hey HN, I'm Andrew. I built Aegis-DB — a database that handles SQL, key-value, document, time series, graph, and event streaming in a single Rust binary. It's been running in production on 50+ Raspberry Pi edge controllers across
5. 5.▲
   Show HN: Aegis-DB – Multi-paradigm database in Rust,in production(github.com)

   1 points by AutomataNexus 7mo ago|1 comments