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solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

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Hi Could you teach me the effect of `--scale_loss`? Does the option normalize the gradient of batch normalization and bias parameters if I use it with `--exclude_bias_n_norm`, as explained in...

and improve SimCLR's implementation

enhancement

Hi there! First of all nice work on the library, looks great. I am in the special situation where I have a large dataset for pretraining but without any labels....

enhancement

Opening the PR now so that we can properly visualize the changes and eventually get the tests rolling.

**Describe the bug** In doing a major refactor (e.g. switching to OmegaConf or hydra), it's not clear to me there is a full e2e integration test. What main(s) would be...

**Describe the bug** In addition to `solo.utils.misc.remove_bias_and_norm_from_weight_decay`, we might consider also `solo.utils.misc.ignore_dim1_parameters` to ignore weight decay *and `lars_adaptation_filter`* them form. **Versions** solo-learn main **Additional comments** I see that `solo.utils.misc.remove_bias_and_norm_from_weight_decay` was...

updates: - [github.com/pre-commit/pre-commit-hooks: v4.5.0 → v4.6.0](https://github.com/pre-commit/pre-commit-hooks/compare/v4.5.0...v4.6.0) - [github.com/kynan/nbstripout: 0.6.1 → 0.7.1](https://github.com/kynan/nbstripout/compare/0.6.1...0.7.1) - [github.com/mwouts/jupytext: v1.16.0 → v1.16.2](https://github.com/mwouts/jupytext/compare/v1.16.0...v1.16.2) - [github.com/psf/black: 23.12.0 → 24.4.2](https://github.com/psf/black/compare/23.12.0...24.4.2)