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Big Refactor #1

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9418f54
simple gitginore
tcapelle Sep 29, 2022
3602c9e
instrument wandb
tcapelle Sep 29, 2022
9a00e49
training nb
tcapelle Sep 29, 2022
7afeb3e
big refactor
tcapelle Sep 29, 2022
6db4f42
slice dataset for debug
tcapelle Sep 29, 2022
ae3ca19
reduce bottleneck size
tcapelle Sep 29, 2022
0b859fb
training and running
tcapelle Sep 29, 2022
3f85134
read config
tcapelle Sep 30, 2022
79691bd
grad scaler
tcapelle Sep 30, 2022
836f5e7
add alphabet dataset
tcapelle Sep 30, 2022
f98e73b
torchvision.datasets
tcapelle Sep 30, 2022
6ea9b60
refactor Unet
tcapelle Sep 30, 2022
09bbcec
typo
tcapelle Sep 30, 2022
4856d20
fix unet
Sep 30, 2022
b5722e1
refactor pre ffcv
Sep 30, 2022
db31d7c
alphabet training
Sep 30, 2022
0a03e48
ffcv
tcapelle Sep 30, 2022
e9d243e
fix ema sampling
tcapelle Oct 4, 2022
f22b000
add prep nb
tcapelle Oct 6, 2022
5decda2
trainin nb
tcapelle Oct 6, 2022
b2eded2
before workshop
tcapelle Oct 6, 2022
a6e2670
Update README.md
dome272 Oct 12, 2022
2be0123
ignore checkpoint files
tcapelle Oct 21, 2022
5aced6f
fonts notebooks
tcapelle Oct 21, 2022
0df7d25
fonts training script
tcapelle Oct 21, 2022
6820be1
refactor training
tcapelle Oct 21, 2022
981a058
Missing loss for backdrop step
rahulvigneswaran Jan 3, 2023
c8f3108
Bug in showing number of images to be sampled
rahulvigneswaran Jan 3, 2023
fa7dbbd
add docstring
tcapelle Jan 10, 2023
b404a6a
Merge pull request #1 from rahulvigneswaran/patch-1
tcapelle Jan 10, 2023
e507629
missing prepare
tcapelle Feb 16, 2023
18d118e
Update README.md
dome272 Oct 24, 2022
461bb6b
missing prepare call
tcapelle Oct 21, 2022
c07c127
fix loading (add back the 512 conv)
tcapelle Mar 20, 2023
95399d2
add loss and cleanup
tcapelle Mar 20, 2023
bdcfa20
fix nb
tcapelle Mar 20, 2023
af3a9c7
fix checkpoint loading
tcapelle Mar 20, 2023
72bf26f
Add simple cifar10 training recipe
tcapelle Mar 20, 2023
49dcff3
remove unused imports
tcapelle Mar 20, 2023
e9bab9a
wandb on by default
tcapelle Mar 20, 2023
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9 changes: 9 additions & 0 deletions .gitignore
Original file line number Diff line number Diff line change
@@ -0,0 +1,9 @@
*.ipynb_checkpoints
__pycache__
wandb/
datasets/
models/
results/
runs/
alphabet
*.pt
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