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The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks
| Date | Stars |
|---|---|
| 2026-07-31 | 341 |
| 2026-08-05 | 341 |
| 2026-08-06 | 341 |
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# Pseudo-Label The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks The repository implement a semi-supervised method for Deep Neural Networks, the Pseudo Label. More details for the method please refer to *Pseudo-Label The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks*. ## The environment: - Python 3.6.5 :: Anaconda - PyTorch 0.4.0 - torchvision 0.2.1 - tensorboardX (for log) - tensorflow (for visualization) ## To prepare the data: ```shell bash data-local/bin/prepare_cifar10.sh ``` ## To run the code: ```shell python -m experiments.cifar10_test ``` ## Visualization: Make sure you have installed the tensorflow for tensorboard ```shell tensorboard --logdir runs ``` ## Code Reference [pytorch-cifar@kuangliu](https://github.com/kuangliu/pytorch-cifar) [mean-teacher@CuriousAI](https://github.com/CuriousAI/mean-teacher) [senet.pytorch@moskomule](https://github.com/moskomule/senet.pytorch)
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:c082f538720b0729, llm:description: 'The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks' (pseudo-labeling for semi-supervised learning)
matched fp:c082f538720b0729, llm:description: 'The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks' (pseudo-labeling for semi-supervised learning)