AnicetNgrt/jiro-nn

A Deep Learning and preprocessing framework in Rust with support for CPU and GPU.

27
/ 100
Experimental

This project is a deep learning framework designed to help researchers and data scientists experiment with neural networks, especially for tasks involving image recognition. It takes raw data, such as images or structured datasets, preprocesses it, and uses deep learning models to produce predictions or classifications. It's intended for those who want to build and train their own deep learning models from the ground up.

133 stars and 10 monthly downloads. No commits in the last 6 months.

Use this if you are a researcher or data scientist wanting to learn the fundamentals of building deep learning models, including data preprocessing and convolutional neural networks, and prefer a Rust-based environment.

Not ideal if you need a production-ready solution for deploying deep learning models, as this project is a learning exercise and is not maintained for high-stakes applications.

deep-learning-research neural-networks image-recognition data-preprocessing machine-learning-experimentation
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 12 / 25
Maturity 8 / 25
Community 7 / 25

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Stars

133

Forks

4

Language

Rust

License

Last pushed

Oct 03, 2023

Monthly downloads

10

Commits (30d)

0

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