swMATH ID: 43039
Software Authors: Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li
Description: LAMDA-SSL: Semi-Supervised Learning in Python. LAMDA-SSL is open-sourced on GitHub and its detailed usage documentation is available at this https URL. 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.
Homepage: https://arxiv.org/abs/2208.04610
Source Code:  https://github.com/ygzwqzd/lamda-ssl
Dependencies: Python
Keywords: LAMDA-SSL; Semi-Supervised Learning; Python; Machine Learning; arXiv_cs.LG; statistical learning; deep learning
Related Software: SemiBoost; PyTorch; ReMixMatch; FlexMatch; S4L; FixMatch; Scikit; MixMatch; Python
Cited in: 0 Publications

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1 Publication describing the Software Year
LAMDA-SSL: Semi-Supervised Learning in Python
Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li