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annotated_deep_learning_paper_implementations
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Name
Complexity
Churn
Issues
A
labml_nn\cfr\infoset_saver.py
7 1 -
A
labml_nn\cfr\kuhn\__init__.py
29 2 -
A
labml_nn\conv_mixer\__init__.py
9 3 -
A
labml_nn\conv_mixer\experiment.py
3 2 -
A
labml_nn\diffusion\__init__.py
 2 -
A
labml_nn\diffusion\ddpm\__init__.py
7 9 -
A
labml_nn\diffusion\ddpm\evaluate.py
24 2 -
A
labml_nn\diffusion\ddpm\experiment.py
18 6 -
A
labml_nn\diffusion\ddpm\unet.py
32 6 -
A
labml_nn\diffusion\ddpm\utils.py
1 1 -
A
labml_nn\diffusion\stable_diffusion\__init__.py
 3 -
A
labml_nn\diffusion\stable_diffusion\latent_diffusion.py
8 4 -
A
labml_nn\diffusion\stable_diffusion\model\__init__.py
 1 -
A
labml_nn\diffusion\stable_diffusion\model\autoencoder.py
32 1 -
A
labml_nn\diffusion\stable_diffusion\model\clip_embedder.py
2 1 -
A
labml_nn\diffusion\stable_diffusion\model\unet.py
31 2 -
A
labml_nn\diffusion\stable_diffusion\model\unet_attention.py
25 9 -
A
labml_nn\diffusion\stable_diffusion\sampler\__init__.py
7 1 -
A
labml_nn\diffusion\stable_diffusion\sampler\ddim.py
16 2 -
A
labml_nn\diffusion\stable_diffusion\sampler\ddpm.py
10 3 -