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aljaz/DALLE2-pytorch
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mirror of https://github.com/lucidrains/DALLE2-pytorch.git synced 2025-12-21 18:44:20 +01:00
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8f93729d19411be67e56f32ed10787083e0d2c4c
DALLE2-pytorch/dalle2_pytorch
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Phil Wang 8f93729d19 when in doubt, make it a hyperparameter
2022-05-07 07:52:17 -07:00
..
data
bring in the simple tokenizer released by openai, but also plan on leaving room for custom tokenizer with yttm
2022-04-12 09:23:17 -07:00
dataloaders
Add a dataloader for training the decoder (#57)
2022-05-05 07:08:45 -07:00
__init__.py
add diffusion prior trainer, which automatically takes care of the exponential moving average (training and sampling), as well as mixed precision, gradient clipping
2022-05-06 08:11:09 -07:00
cli.py
add missing import (#56)
2022-05-04 07:42:20 -07:00
dalle2_pytorch.py
when in doubt, make it a hyperparameter
2022-05-07 07:52:17 -07:00
optimizer.py
now completely OpenAI CLIP compatible for training
2022-04-29 13:05:01 -07:00
tokenizer.py
bring in the simple tokenizer released by openai, but also plan on leaving room for custom tokenizer with yttm
2022-04-12 09:23:17 -07:00
train_vqgan_vae.py
make sure vqgan-vae trainer supports mixed precision
2022-05-06 10:44:16 -07:00
train.py
add diffusion prior trainer, which automatically takes care of the exponential moving average (training and sampling), as well as mixed precision, gradient clipping
2022-05-06 08:11:09 -07:00
vqgan_vae.py
remove convnext blocks, they are illsuited for generative work, validated by early experimental results at https://github.com/lucidrains/video-diffusion-pytorch
2022-05-05 07:07:21 -07:00
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