Metadata-Version: 2.1
Name: borisml
Version: 0.1.1
Summary: A deep learning package for self-supervised learning
Home-page: UNKNOWN
Author: Philipp Wirth & Igor Susmelj
Author-email: philipp@whattolabel.com
License: MIT
Project-URL: Documentation, https://www.notion.so/whattolabel/WhatToLabel-Documentation-28e645f5564a453e807d0a384a4e6ea7
Project-URL: WhatToLabel, https://www.whattolabel.com
Description: # BorisML
        
        BorisML is a PIP package for self-supervised active learning.
        
        > We, at [WhatToLabel](https://www.whattolabel.com), 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](https://www.whattolabel.com)!
        
        # Installation:
        
        ```
        pip install borisml
        ```
        
        # Documentation
        For more information, take a look at the [Documentation](https://www.notion.so/whattolabel/WhatToLabel-Documentation-28e645f5564a453e807d0a384a4e6ea7).
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: MIT License
Description-Content-Type: text/markdown
Provides-Extra: LIGHTNING
