zj-jayzhang / dense Goto Github PK
View Code? Open in Web Editor NEWOfficial PyTorch implementation of DENSE (NeurIPS 2022)
Official PyTorch implementation of DENSE (NeurIPS 2022)
Can you please provide the location/command to generate the synthetic data generated that has been used in the paper for visualization and comparison with the original dataset?
Dear authors,
Could you please provide the commands to relaunch the code to generate the results in your Table 1 for MNIST, FMNIST, CIFAR10?
Thanks so much,
Best,
Chuan Xu
Could you please provide your codes of conducting other baseline methods? That would be very helpful for others to follow this interesting work.
And it seems that current codes have some bugs, like line
Line 59 in 237c5dd
Hello, I came across some issues while reproducing your project. Firstly, I noticed a problem with the dependency version on line 21 of your requirements.txt file; it appears to be nonexistent on PyPI. Additionally, I encountered compatibility issues with Python 3.6 for the dependencies on lines 20 and 22.
For the issue on line 21, you can check the link at https://pypi.org/project/mkl-random/#history.
Regarding the issues on lines 20 and 22, you can check the links at https://pypi.org/project/mkl-fft/1.3.0/#files and https://pypi.org/project/mkl-service/2.3.0/#files.
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