🔧 Logis - turn your git history into a searchable scientific log. The `@commit` decorator auto-commits your code when your experiment runs - with metadata in the message. Then you can find previous results by querying for commits with (e.g.) metrics.accuracy > 0.9. github.com/flywhl/logis

The SDK is similar to Weights & Biases, just add relevant data to your experiment's run.

Or use the (work-in-progress) implicit API, where logis finds your parameters/metrics in the arguments and return value.

Then when your experiment runs, logis will commit your code for you, with a nice commit message and experiment metadata at the bottom.

Now, you can search your commit history to find good results and the associated code state.