cc-ai/climategan
Code and pre-trained model for the algorithm generating visualisations of 3 climate change related events: floods, wildfires and smog.
Jupyter NotebookGPL-3.0
Issues
- 3
- 5
Refactor: update deprecations
#49 opened - 3
About bit conditioning
#47 opened - 1
- 0
- 3
Two data loaders for synthetic images
#44 opened - 0
Implementation choices
#43 opened - 4
Pathlib error in tests
#39 opened - 0
Spectral norm example
#35 opened - 4
Self-supervised surrogate tasks
#33 opened - 0
conditioning may fail in the early stages: train auto-encoding T after some task performance
#30 opened - 0
infer masks and load them
#28 opened - 0
Label smoothin in lsgan?
#25 opened - 2
Discriminators are updated twice
#24 opened - 0
Careful: Sim Masks are not really binary
#23 opened - 0
Film vs SPADE?
#21 opened - 2
- 0
Leverage pairs
#19 opened - 1
How to infer from cropped data
#17 opened - 0
refactor code
#15 opened - 1
- 2
- 0
update_d
#9 opened - 2
add comet logging
#8 opened - 1
Finish classifier losses
#7 opened - 1
- 1
add reconstruction criterion for z
#5 opened - 5
- 1
- 0
Add Classifier
#1 opened