PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Run experiments to learn visual features from images using a simple framework for contrastive learning.
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SimCLR has 2.5k stars on GitHub. It has been forked 494 times. SimCLR is written mainly in Jupyter Notebook. It has been in active development since 2020. SimCLR is available under the MIT license. Its main topics are contrastive-loss, deep-learning, machine-learning, pytorch.
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
SimCLR is an open-source project. It is released under the MIT license.
Yes. SimCLR is free and open source — you can use, modify and self-host it.
SimCLR is available under the MIT license.
SimCLR is written mainly in Jupyter Notebook.
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