LAMDA-SSL: Semi-Supervised Learning in Python

TL;DR

LAMDA-SSL is an open-source Python toolkit that provides comprehensive documentation, examples, and algorithms for semi-supervised learning, facilitating easier adoption and understanding of SSL methods.

Contribution

The paper introduces LAMDA-SSL, a detailed, well-documented Python toolkit that simplifies access to various SSL algorithms for researchers and practitioners.

Findings

Extensive documentation reduces learning curve for SSL.

Includes a wide range of SSL algorithms with examples.

Facilitates quick understanding and implementation of SSL methods.

Abstract

LAMDA-SSL is open-sourced on GitHub and its detailed usage documentation is available at https://ygzwqzd.github.io/LAMDA-SSL/. This documentation introduces LAMDA-SSL in detail from various aspects and can be divided into four parts. The first part introduces the design idea, features and functions of LAMDA-SSL. The second part shows the usage of LAMDA-SSL by abundant examples in detail. The third part introduces all algorithms implemented by LAMDA-SSL to help users quickly understand and choose SSL algorithms. The fourth part shows the APIs of LAMDA-SSL. This detailed documentation greatly reduces the cost of familiarizing users with LAMDA-SSL toolkit and SSL algorithms.