Self-supervised learning (SSL) is a method of machine learning. It learns from unlabeled sample data. It can be regarded as an intermediate form between supervised and unsupervised learning.
| Sr | State of Art Model | Colab |
|---|---|---|
| 1 | Barlow Twins, 2021 | |
| 2 | BYOL, 2020 | |
| 3 | MoCo, 2019 | |
| 4 | NNCLR, 2021 | |
| 5 | SimCLR, 2020 | |
| 6 | SimSiam, 2021 | |
| 7 | SwaV, 2020 |
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