Positive and Negative Sampling Strategies for Representation Learning in Semantic Search

This page summarizes the projects mentioned and recommended in the original post on /r/LanguageTechnology
simclr contrastive-learning representation-learning self-supervised-learning unsupervised-learning

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  • simclr

    SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

    • For visual representations, you could look into SimCLR and MoCo. https://github.com/google-research/simclr https://github.com/facebookresearch/moco

  • moco

    PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722 (by facebookresearch)

    • For visual representations, you could look into SimCLR and MoCo. https://github.com/google-research/simclr https://github.com/facebookresearch/moco

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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