|
..
|
|
images
|
|
01_matmul.ipynb
|
|
02_meanshift.ipynb
|
|
03_backprop.ipynb
|
|
04_minibatch_training.ipynb
|
|
05_datasets.ipynb
|
|
06_foundations.ipynb
|
|
07_convolutions.ipynb
|
|
08_autoencoder.ipynb
|
|
09_learner.ipynb
|
|
10_activations.ipynb
|
|
11_initializing.ipynb
|
|
12_accel_sgd.ipynb
|
|
13_resnet.ipynb
|
|
14_augment.ipynb
|
|
15_DDPM.ipynb
|
|
16A_StyleTransfer.ipynb
|
|
16B_NCA.ipynb
|
|
17_DDPM_v2.ipynb
|
|
18_fid.ipynb
|
|
19_DDPM_v3.ipynb
|
|
20_DDIM.ipynb
|
|
21_cifar10_and_wandb.ipynb
|
|
22_cosine.ipynb
|
|
22_noise-pred.ipynb
|
|
23_karras.ipynb
|
|
24_imgnet_tiny-wide.ipynb
|
|
24_imgnet_tiny-widish.ipynb
|
|
24_imgnet_tiny.ipynb
|
|
24a_imgnet_tiny-200.ipynb
|
|
25_superres.ipynb
|
|
26_diffusion_unet.ipynb
|
|
27_attention.ipynb
|
|
28_diffusion-attn-cond.ipynb
|
|
29_vae.ipynb
|
|
30_lsun_diffusion-latents.ipynb
|
|
30_lsun_diffusion-simple.ipynb
|
|
31_imgnet_latents-widish.ipynb
|
|
_16_learnerdict.ipynb
|
|
_DDPM_profiler.ipynb
|
|
_Diffusion_Model_Test.ipynb
|
|
_callbacks.ipynb
|
|
_learner_cb_chain.ipynb
|
|
consistency.ipynb
|
|
segmentation.ipynb
|
|
_quarto.yml
|
|
nbdev.yml
|
|
renum.py
|
|
styles.css
|