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Training & fine-tuning

Optuna

Automatically finds the best settings for a machine learning model by trying many options smartly.

Widely used

What it does

When training a machine learning model, you choose settings called hyperparameters, such as how fast it learns. Picking good ones by hand is slow. Optuna tries many combinations automatically and homes in on the best.

It uses search methods that focus on promising options and stop poor attempts early. It can spread the work across many computers and draw charts showing how the search went.

Settings to try are written in ordinary Python code, so they can be flexible.

Who it's for

Data scientists and machine learning engineers tuning their models.

Can I use it without coding?

Developers only. A Python library used by writing code. New to this? Start here.

Can I run it?

Cost
FreeNothing to pay or sign up for.
API key
Not needed

Try it

Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?

Before you install

  • Only download from the official GitHub page. Copies with similar names exist for many popular projects.
  • License (MIT): Very permissive: free to use, change and share, including for business.
  • More on staying safe

Where people are talking about it