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5 contributors

History: 16 commits

Yannic Kilcher

added interfaces for interpolation and projection

5c824be over 2 years ago

.github
Update issue templates over 3 years ago
dnnlib
Documentation almost 4 years ago
docs
Add --allow-tf32 perf tuning argument that can be used to enable tf32 almost 4 years ago
metrics
Fix metrics to work with grayscale datasets (#9) almost 4 years ago
torch_utils
Print better error message for the dreaded upfirdn2d_plugin problem over 3 years ago
training
Add --allow-tf32 perf tuning argument that can be used to enable tf32 almost 4 years ago
.gitignore

30 Bytes

added interfaces for interpolation and projection over 2 years ago
Dockerfile

897 Bytes

Initial commit almost 4 years ago
LICENSE.txt

4.42 kB

Initial commit almost 4 years ago
README.md

25.6 kB

added interfaces for interpolation and projection over 2 years ago
calc_metrics.py

8.34 kB

dataset_tool.py docs update, tf32 disable for calc_metrics.py over 3 years ago
dataset_tool.py

17.9 kB

dataset_tool.py docs update, tf32 disable for calc_metrics.py over 3 years ago
docker_run.sh

1.2 kB

Specify --shm-size=2g and fix typo in code comments almost 4 years ago
generate.py

5.34 kB

Do not require a --seeds argument with --projected_w (#5) almost 4 years ago
interface.py

2.34 kB

added interfaces for interpolation and projection over 2 years ago
interface_projector.py

4.18 kB

added interfaces for interpolation and projection over 2 years ago
interpolate.py

396 Bytes

added interfaces for interpolation and projection over 2 years ago
legacy.py

16.5 kB

Initial commit almost 4 years ago
projector.py

12.7 kB

added interfaces for interpolation and projection over 2 years ago
style_mixing.py

4.89 kB

Initial commit almost 4 years ago
train.py

24.1 kB

Add --allow-tf32 perf tuning argument that can be used to enable tf32 almost 4 years ago