Comments (12)
It's just that we've realized that coding-wise it's better for us to be here. Working from home changes the game.. But no obligation on your end, use what you like. As you know, it's not like we're sure of the way to manage all this :)
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I don't mind posting updates here, just wanted to understand where people are following more, it's for everyone else not for me anyways.
I will keep Trello for myself I guess, instead of copying everything here, but if there is an automatic integration, will be good
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It's not in the pipes, you're flying solo here :)
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@Vahe987 keep us posted!! :)
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all my tickets are in Trello, we are moving back to GitHub again?
right now I am training a new CycleGAN model
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This is the paper right? [1809.05375] Style Augmentation: Data Augmentation via Style Randomization
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yes, but I am on CycleGAN right now, not using the model in that paper yet, coming next.
So if anyone is going to try this paper directly, at least let me know, so we don't duplicate the work, thanks
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I will do it tomorrow or max Monday, will keep you updated 😉
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How's this going @Vahe987 ?
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learning pytorch
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Good luck :)
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thanks 😊
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Related Issues (20)
- React to issues/PRs you have seen! HOT 1
- Total Variational Regularization for MaskGen
- Mask-conditioned encoder reduced water quality HOT 2
- Hardcoded domain adaptation classifier in MUNIT/SPADE HOT 4
- Next steps to improve SPADE + AdaIN architecture
- Tianyu's TODO list from April 29th
- Ground/Flood masks TO DO List HOT 9
- Ground/Flood masks postprocessing HOT 1
- Masker Next Ideas HOT 1
- Self-Supervised Relative Depth Learning for Urban Scene Understanding
- High-Fidelity Image Generation With Fewer Labels
- Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game
- Organising and documenting stuff HOT 2
- Segmentation maps for real dataset HOT 3
- Using Cityscapes Validation to Test ADVENT HOT 3
- Comparing the ADVENT pretrained with ADVENT non-pretrained HOT 1
- Exploring other extreme weather events HOT 2
- Omnigan current tasks
- Current OmniGAN tasks HOT 1
- Week-long Climate Hackathon HOT 7
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