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IDEA-Research/DisCo-CLIP

0
View on GitHub↗
0 stars·0 forks·9 views

DisCo CLIP

Features

  • Self-Supervised Pretraining - Distributed contrastive loss for memory-efficient CLIP training.

Star history

Star history chart for idea-research/disco-clipStar history chart for idea-research/disco-clip

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with DisCo CLIP

These projects share indexed features with DisCo CLIP. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • alinlab/selfpatchA

    alinlab/SelfPatch

    0View on GitHub↗
    View on GitHub↗0
  • alpha-vl/convmaeA

    Alpha-VL/ConvMAE

    0View on GitHub↗
    View on GitHub↗0
  • apple/ml-aimapple avatar

    apple/ml-aim

    1,426View on GitHub↗

    This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects.

    Python
    View on GitHub↗1,426
  • aimagelab/mapetA

    aimagelab/MaPeT

    0View on GitHub↗
    View on GitHub↗0
Compare all 30 related projects→

Frequently asked questions

What are the main features of idea-research/disco-clip?

The main features of idea-research/disco-clip are: Self-Supervised Pretraining.

Which projects share features with idea-research/disco-clip?

Projects with overlapping indexed features include: alinlab/selfpatch. alpha-vl/convmae. apple/ml-aim — This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects. arshadshk/position-prediction-pretraining. beckschen/transmix — This repository includes the official project for the paper: TransMix: Attend to Mix for Vision Transformers, CVPR 2022. aimagelab/mapet.