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Solution to one of the problems in 2021 NeurIPS Competition: A self-supervised contrastive learning model to learn matched cell modality embeddings in 10X Multiome data. Implemented in Python&PyTorch.

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Name		Name	Last commit message	Last commit date
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inference		inference
misc		misc
resources		resources
train		train
README.md		README.md
eda.ipynb		eda.ipynb

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Semi-supervised network for matching cells between modalities

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Solution to one of the problems in 2021 NeurIPS Competition: A self-supervised contrastive learning model to learn matched cell modality embeddings in 10X Multiome data. Implemented in Python&PyTorch.

deep-learning computational-biology embeddings transformer convolutional-neural-networks multi-modal-learning contrastive-learning

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