irithyll 9.8.4

Streaming ML in Rust -- gradient boosted trees, neural architectures (TTT/KAN/MoE/Mamba/SNN), AutoML, kernel methods, and composable pipelines
Documentation
cff-version: 1.2.0
message: "If you use irithyll in your research, please cite it as below."
title: "irithyll: Streaming Machine Learning in Rust"
type: software
authors:
  - given-names: Jonathan Bailey
    family-names: Shawe
    alias: evilrat420
repository-code: "https://github.com/evilrat420/irithyll"
url: "https://docs.rs/irithyll"
license:
  - MIT
  - Apache-2.0
keywords:
  - streaming-machine-learning
  - online-learning
  - gradient-boosted-trees
  - reservoir-computing
  - state-space-models
  - spiking-neural-networks
  - kolmogorov-arnold-networks
  - test-time-training
  - mixture-of-experts
  - automl
  - rust
  - no-std
  - embedded-ml