MoCo and New Documentation
MoCo and New Documentation
New Model: MoCo
lightly.models.moco.ResNetMoCo implements the momentum encoder architecture for self-supervised visual representation learning.
lightly.loss.memory_bank.MemoryBankWrapper allows the training of self-supervised models with a queue of negative samples.
New Documentation
The URL for the documentation has changed to https://docs.lightly.ai.
New section on how lightly works.
New tutorials have been added, check out the Pizza Tutorial to learn how to train a pizza classifier.
Further Changes:
Refactoring of lightly.api.
Default collate functions which implement the SimCLR and MoCo (v1) transfomations.
Collate functions work with tuple as input_size.
New tests and tox environments.
Removed sklearn dependency for PCA.