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This repo constains the pytorch implementation for the CVPR2018 unsupervised learning paper [(arxiv)](https://arxiv.org/pdf/1805.01978.pdf).
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```
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@inproceedings{unsupervised2018wu,
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@inproceedings{wu2018unsupervised2018,
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title={Unsupervised Feature Learning via Non-parametric Instance-level Discrimination},
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author={Wu, Zhirong and Xiong, Yuanjun and Yu, Stella and Lin, Dahua},
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booktitle={Computer Vision and Pattern Recognition (CVPR) 2018},
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Our code extends the pytorch implementation of imagenet classification in [official pytorch release](https://github.com/pytorch/examples/tree/master/imagenet).
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Please refer to the official repo for details of data preparation and hardware configurations.
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- install python2 and [pytorch=0.3](http://pytorch.org)
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- supports python27 and [pytorch=0.4](http://pytorch.org)
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- clone this repo: `git clone https://github.com/zhirongw/lemniscate.pytorch`
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