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View Code? Open in Web Editor NEWImplementation of Domain Specific Denoising Diffusion Probabilistic Models for Brain Dynamics/EEG Signals
Home Page: https://arxiv.org/abs/2303.05021
Implementation of Domain Specific Denoising Diffusion Probabilistic Models for Brain Dynamics/EEG Signals
Home Page: https://arxiv.org/abs/2303.05021
I want to use it on my own time series data set. In addition, it is difficult for me to find the part of the pre-training model
Hello, I want to know that the change of the last one-dimensional stack_size of UNET is 8-4-2-1, which is not like 8-16-32-32 in the paper. May I ask if the relevant parameters have been changed? or there are other reasons
您好,请问什么时候推出用bci_IV_2a的原生数据即可使用的版本;由于对脑电数据不熟练,希望简单地指导一下大概需要如何处理18个.gdf数据(或者标签.mat数据),十分感谢,期待您的回复
ModuleNotFoundError: No module named 'diffusion_uncon_bci_compiv'
I'd be appreciate if you can provide the file "data".When I was running, the system reported an error and failed to find "data/bci_iv//single_sep/single_subject_data_1.mat "and some other files in the ”data“ folder.So I really need the "data" folder you provided. Thank you very much.
I will delete this issue after you mention it.
Thank you very much !!!
I have really tried to contact you in many ways but have no reply. This is really a helpless move...
Could you please check your diffusiondepth repo's issue?
Hello,Can you reveal how the data preprocessing is done
Hi,
I'd be appreciate if you can provide the max_acc.pth
https://github.com/DuanYiqun/DS-DDPM/blob/633ce40323ecb15e85edb293a4903bbaa3fd0228/comon_two_stream_sep_gaussion_organal_arc_margin_nomalizedy.py#L127
Hello,
I would like to ask some questions. I used the ninth EEG signal you provided, but the generated data looks very different from the original data. May I ask, is this consistent with your results? When you have a larger amount of data, does the generated data look consistent with the original data?Thank you!
Thank you for your amazing jobs!
I 've some question about it:
This one: duanyiqun/DiffusionDepth#45 (comment)
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