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Open Source AutoML

Kolosal AutoML Platform

End-to-end AutoML with a Gradio UI — from hyperparameter tuning with Optuna to experiment tracking with MLflow, all in one open-source platform built under Kolosal AI.

What is it?

AutoML tooling is either too opinionated or too complex to extend. Kolosal AutoML Platform is a fully open-source alternative that gives you a visual UI, a tuning engine, and experiment tracking in one deployable service.

You upload a dataset, pick a target column, and the platform searches for the best model and hyperparameters automatically — while logging every trial to MLflow so nothing is lost. All accessible through a clean Gradio interface, no code required.


What it does

🎛️

Gradio UI

No-code interface for uploading data, configuring runs, and inspecting results — all in the browser.

🔍

Optuna Tuning

Bayesian hyperparameter search with pruning — finds good configs faster than grid search.

📊

MLflow Tracking

Every experiment, metric, and artifact is logged automatically — full reproducibility out of the box.

🔁

End-to-end Pipeline

From raw data to a trained, evaluated model — preprocessing, training, and evaluation in one flow.

🌐

FastAPI Backend

REST API layer for programmatic access — trigger runs, fetch results, and serve models via HTTP.

🔓

Fully Open Source

No vendor lock-in. Deploy anywhere, extend freely, and contribute back to the community.


Built with

Gradio MLflow Optuna FastAPI Python scikit-learn

See the code

Full source, docs, and usage examples on GitHub.