KTH_DeepLearning

Setup guide

Run environment.yml to create a conda environment with most necessary packages
pip install https://github.com/podgorskiy/dnnlib/releases/download/0.0.1/dnnlib-0.0.1-py3-none-any.whl
Download folder 'torch_utils'
Download folder 'externals' for pretrained classifier model 'adm_model_definition.py'
Download dataset 'true_data.npz' from https://drive.google.com/drive/folders/15sslg1DLiFznioOOj0RjqWTAUpQUf8bT?usp=sharing
Download EDM diffusion model 'edm-cifar10-32x32-uncond-vp.pkl' from https://drive.google.com/drive/folders/15sslg1DLiFznioOOj0RjqWTAUpQUf8bT?usp=sharing
Download pretrained ADM classifier model '32x32_classifier.pt' from https://drive.google.com/drive/folders/15sslg1DLiFznioOOj0RjqWTAUpQUf8bT?usp=sharing
Download pretrained discriminator model 'discriminator_60_uncond_pretrained.pt' from https://drive.google.com/drive/folders/15sslg1DLiFznioOOj0RjqWTAUpQUf8bT?usp=sharing

Name		Name	Last commit message	Last commit date
Latest commit History 56 Commits
evaluation		evaluation
externals		externals
model		model
pdf		pdf
torch_utils		torch_utils
.gitignore		.gitignore
DD2412_Project_Report_peer-review.pdf		DD2412_Project_Report_peer-review.pdf
README.md		README.md
diffusion.py		diffusion.py
environment.yml		environment.yml
params.py		params.py
reproduce_paper.py		reproduce_paper.py
unconditional_dataloader.py		unconditional_dataloader.py
utils.py		utils.py