LAMDA-SSL: Semi-Supervised Learning in Python
It offers a practical tool for researchers and practitioners in machine learning, but is incremental as it packages existing algorithms.
The paper introduces LAMDA-SSL, an open-source Python toolkit for semi-supervised learning, providing documentation and examples to reduce user learning costs.
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.