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A python library for self-supervised learning on images.
fixes lig-1593 - ensure to only set s3 headers for server side encryption if we are actually talking to s3 as google buckets doesn't like headers of other buckets
Review this together with the changed API specs: https://github.com/lightly-ai/lightly-core/pull/1834 ## Changes - generates code from the new API specs in the linked PR - includes a unittest checking that the...
TODO: - [x] projection head - [x] collate function - [x] loss - [ ] examples - [ ] benchmark - [ ] docs - [ ] add to api...
# DRAFT: Add SMoG Draft implementation of SMoG: https://arxiv.org/pdf/2207.06167.pdf Currently, the CIFAR10 benchmark reaches approximately `65%` accuracy after 200 epochs (depending on the exact set of hyperparameters). There are some...
Hello, I would like to share this new interesting SSL method proposed by Meta that achieves SOTA results and shows interesting generalization properties. It is based on ViT and I...
Hy! I'm student of research. I'm interested in your code of lightly and I like it strongly. I want to use this code in own research era. Related that code...
Hy! I want to use this code lightly. How install cuda because when I install cuda error occur "graphic driver not compatible with this version of windows ". I have...
## Changes - add benchmark for ImageNet