News

Plans and Release Note

v0.1.0

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)

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