cmccomb/rust-automl
Automated Machine Learning in Rust 🦀
When you have a dataset and need to quickly figure out which machine learning model performs best for a classification or regression task, this tool helps. It takes your raw data, automatically tries various models, and then shows you a table comparing their accuracy and training time. This is perfect for data scientists or analysts who want to efficiently benchmark different models without extensive manual coding.
Use this if you need to rapidly compare the performance of multiple machine learning models on your dataset and want to automate the model training and evaluation process.
Not ideal if you need to build highly customized machine learning models from scratch or require fine-grained control over every aspect of model architecture and training.
Stars
37
Forks
5
Language
Rust
License
MIT
Category
Last pushed
Nov 16, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/cmccomb/rust-automl"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
SomeB1oody/RustyML
A high-performance machine learning library in pure Rust, offering statistical utilities, ML...
smartcorelib/smartcore
A comprehensive library for machine learning and numerical computing. Apply Machine Learning...
open-spaced-repetition/fsrs-rs
FSRS for Rust, including Optimizer and Scheduler
open-spaced-repetition/fsrs-optimizer
FSRS Optimizer Package
rust-ml/linfa
A Rust machine learning framework.