Thingsvision

- Bug fixes regarding the SSL models and torch hub

- bug fixes

- Enabled feature extraction for new models: [SAM](https://vicco-group.github.io/thingsvision/AvailableModels.html#segment-anything) and Kakaobrain's [ALIGN](https://vicco-group.github.io/thingsvision/AvailableModels.html#segment-anything) implementation
- Fixed small bugs in rbf kernel of CKA class

- added support for `torch>=2.0.0` and `torchvision=0.15.*` (fixes issue 165)
- implemented CKA in both NumPy and PyTorch (PyTorch runs 2x faster than NumPy)
- added CUDA support for CKA in PyTorch (100x faster than CKA in NumPy)
- added new function called `get_cka` where the user can set the `backend` (`torch` or `numpy`); function returns the CKA object
- added an unbiased CKA variant (from [here](https://github.com/google-research/google-research/blob/master/representation_similarity/Demo.ipynb)) in addition to vanilla CKA

- improved the efficiency of batch-wise feature extraction (with custom data pipeline)
- added pretrained MAEs to the `thingsvision` model collection

- efficient batch-wise feature extraction (using a `with` statement for PyTorch models) for custom data pipeline