Neural network modules for Axonml ML framework
Neural network modules for ferrotorch — layers, losses, initialization
floDl — a flow-graph deep learning framework built on libtorch
A tiny ML framework
Nanochat in Rust
Zero-dependency NNUE training & inference library in pure Rust
Rust implementation of OpenTSLM using Burn, WGPU, and llama.cpp
Graph-based deep learning framework in Rust: define-then-run ASG, graph-to-graph autograd, wgpu GPU backend, and an interactive egui graph visualizer.
Rust-native ML library. No Python. No GIL. Just speed.
Rust implementation of Tiny Recursive Models for efficient puzzle solving
Neural network modules for ToRSh with PyTorch-compatible API
Scalar mathematical library for neural networks.