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
- 1
- 2
Training stage problem
#218 opened - 1
Question about installing
#216 opened - 1
torch.nn.modules.module "set_latent_shape"
#213 opened - 1
Victor's Ablation Study exps
#189 opened - 5
- 0
- 0
Using pretrained weights for the painter
#169 opened - 0
add FID to painter
#164 opened - 1
Compare performance of painter wrt masks
#163 opened - 0
Explore painter lambdas
#162 opened - 0
- 0
Refactor duplicate calls to dicriminator
#158 opened - 0
Compare SPADEGAN vs OmniGAN
#157 opened - 0
ADVENT WGAN
#156 opened - 0
Bug in the optim.py
#145 opened - 0
add torch.no_grad() to eval functions
#143 opened - 0
LR annealing
#142 opened - 2
Victor's Experiment summaries
#139 opened - 1
infer.py not working
#135 opened - 7
- 3
Improve depth learning + evaluation
#133 opened - 1
Different learning rates for each task
#132 opened - 4
Different depth scaling approaches for smog
#131 opened - 4
Try Advent v2
#130 opened - 2
Masker + Painter end-to-end training
#129 opened - 1
Model 12 + omniGAN depth + seg heads
#128 opened - 2
Multi-level flooding + Model 12 Integration
#127 opened - 4
Change defaults hyperparameters
#126 opened - 3
Comet "Reproduce" feature doesn't work
#116 opened - 0
ADVENT doesn't run
#115 opened - 0
Painter is broken
#114 opened - 0
Empty config file being saved to output_dir
#112 opened - 2
Some images have weird colors
#104 opened - 8
Image logging error in depth head
#101 opened - 3
Evaluate simclr performance
#95 opened - 1
Complete docstrings
#94 opened - 1
segmentation loss for advent
#93 opened - 0
Add the WD2 data to the simulated data
#92 opened - 0
Write tests on the refactored code
#90 opened - 1
Test / fix resume function
#89 opened - 0
Test / fix resume function
#88 opened - 1
ADVENT use target segmentation?
#87 opened - 0
clean up legacy code
#86 opened - 0
Add feature matching loss to painter
#85 opened - 0
Domain adaptation for training simclr
#82 opened - 0
transform testing to unittest/pytest
#81 opened - 1
- 0
Parametrize BaseDecoder's norm
#76 opened - 0
clean up classifier
#75 opened