Skip to main content

A deep learning package for self-supervised learning

Project description


BorisML is a PIP package for self-supervised active learning.

We, at WhatToLabel, are passionate engineers who want to make deep learning more efficient. We want to help popularize the use of self-supervised methods to understand and filter raw image data. Our solution can be applied before any data annotation step and the learned representations can be used to analyze and visualize datasets as well as for selecting a core set of samples.

Our active-learning library is powered by state-of-the-art algorithms to help you with interactive learning loops.

If you are curious to learn more about our work - check out WhatToLabel!


pip install borisml


For more information, take a look at the Documentation.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for borisml, version 0.1.7
Filename, size File type Python version Upload date Hashes
Filename, size borisml-0.1.7-py3-none-any.whl (38.1 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size borisml-0.1.7.tar.gz (42.3 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page