Simple API

Losswise provides ML practioners with an intuitive and elegant Python API and accompanying dashboard to visualize progress within training sessions as well as across training sessions.

It's ideal for running hyperparameter searches, model comparison experiments, as well as simply tracking one-off training scripts.

example of API implementation code

Summary statistics

Losswise provides real time tables showing you your latest model results, including estimates of when your models will be done training.

Sort and filter by min loss, max accuracy, or whatever you wish, to get a better understanding of how parameters affect your final results.

illustration of table and statistics and how it looks like in interface

Parameters, Images, Logs

Visualize your experiments in more ways than charts and graphs like viewing the parameters of each of your algorithms.

Using Losswise for computer vision experiments? See every image processed by your algorithm and the results.

Using the Losswise Build Runner to trigger builds on your servers? See the logs in real time.

animated gif shows haw inteface works, how you can switch tabs

Start automating your ML builds today!

  • VCS Integration

    Losswise integrates with Github, Bitbucket, and more. Every time you commit code, Losswise triggers a build.

  • Provisioning

    Losswise agents run builds on your servers, whether they are on-prem or in the cloud. Super easy agent setup.

  • Monitoring & Analytics

    Visualize logs, loss functions, and predictions. Losswise provides super simple API's to track ML performance.

(No credit card information required.) See pricing information.