andreytkachenko/yarnn
Yet Another rust Neural Network framework
This framework helps embedded systems developers create and deploy neural networks on resource-constrained hardware like STM32 microcontrollers. It takes raw sensor data or similar inputs and processes them through neural network layers to produce classifications, predictions, or other insights directly on the device. Developers building IoT devices, robotics, or other edge computing solutions would find this useful.
No commits in the last 6 months.
Use this if you are an embedded systems developer needing to run machine learning models directly on low-power microcontrollers without relying on external computation.
Not ideal if you are looking for a high-level tool for general-purpose machine learning tasks, require extensive pre-built models, or need GPU acceleration for large datasets.
Stars
16
Forks
—
Language
Rust
License
MIT
Category
Last pushed
Mar 17, 2022
Monthly downloads
1
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/andreytkachenko/yarnn"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
SyntaxSpirits/rust-lstm
A complete LSTM neural network library with training capabilities, multiple optimizers, and...
MikhailKravets/NeuroFlow
Awesome deep learning crate
xaynetwork/xaynet
Xaynet represents an agnostic Federated Machine Learning framework to build privacy-preserving...
DragonflyRobotics/Neuroxide
Ultrafast PyTorch-like AI Framework Written from Ground-Up in Rust
singjc/redeem
Repository for Deep Learning Models for Mass Spectrometry written in Rust