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## GHN-2
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- paper: [Parameter Prediction for Unseen Deep Architectures](https://arxiv.org/abs/2110.13100)
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- code: https://github.com/
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## GHN-3
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- paper: [Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?](https://arxiv.org/abs/2303.04143) training an improved GHN on this dataset
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- code: https://github.com/SamsungSAILMontreal/ghn3
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## Citation
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## GHN-2
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- paper: [Parameter Prediction for Unseen Deep Architectures](https://arxiv.org/abs/2110.13100)
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- code: https://github.com/facebookresearch/ppuda
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- models: https://github.com/facebookresearch/ppuda/tree/main/checkpoints
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## GHN-3
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- paper: [Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?](https://arxiv.org/abs/2303.04143) training an improved GHN on this dataset
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- code: https://github.com/SamsungSAILMontreal/ghn3
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- models: https://huggingface.co/SamsungSAILMontreal/ghn3
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## Citation
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