google-research / simclr

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

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Updated Jul 6, 2021
Jupyter Notebook

lightly-ai / lightly

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Add examples for all ApiWorkflow functions

philippmwirth commented Aug 5, 2021

Add examples for all ApiWorkflow functions

The ApiWorkflow class provides a lot of usability. You can e.g. create datasets, upload samples, upload embeddings, upload custom metadata, delete datasets, and more. But, currently, the documentation is rather thin. We should add a simple example on how to use these functions for all of them.

Add example of using Barlow Twins

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Add multi-modal loss

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wvangansbeke / Unsupervised-Classification

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SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

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Updated Jul 29, 2021
Python

JosephKJ / OWOD

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(CVPR 2021 Oral) Open World Object Detection

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Updated Jun 14, 2021
Python

MishaLaskin / curl

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CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

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Updated Oct 28, 2020
Python

Spijkervet / SimCLR

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PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

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Updated Jul 24, 2021
Python

vturrisi / solo-learn

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solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

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Updated Aug 9, 2021
Python

tfzhou / ContrastiveSeg

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ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation

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Updated Jul 28, 2021
Python

salesforce / PCL

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PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

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Updated Mar 3, 2021
Python

zdaxie / PixPro

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Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021

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Updated Mar 1, 2021
Python

THUDM / GCC

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GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

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Updated Dec 13, 2020
Python

JohnGiorgi / DeCLUTR

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The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!