Semi-supervised-learning
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
Run experiments to classify audio, images, and text using semi-supervised learning techniques.
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Semi-supervised-learning has 1.6k stars on GitHub. It has been forked 218 times. Semi-supervised-learning is written mainly in Python. It has been in active development since 2022. Semi-supervised-learning is available under the MIT license. Its main topics are audio-classification, classification, computer-vision, deep-learning.
What is Semi-supervised-learning?
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
Is Semi-supervised-learning open source?
Semi-supervised-learning is an open-source project. It is released under the MIT license.
Is Semi-supervised-learning free?
Yes. Semi-supervised-learning is free and open source — you can use, modify and self-host it.
What license does Semi-supervised-learning use?
Semi-supervised-learning is available under the MIT license.
What language is Semi-supervised-learning written in?
Semi-supervised-learning is written mainly in Python.
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