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News
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Plans and Release Note
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v0.1.0
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First release!

1. A general semi-supervised learning experiment framework.
2. Classical semi-supervised learning algorithms.
3. Some of our explorations on safe semi-supervised learning.


v0.1.1 (Developing)
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1. Hope to improve generality to more settings.
2. Abstract the process of hyper-parameter optimization.
3. More algorithms.