CmdStanPy_Example_Notebook.ipynb | 62.4 KB | |
GCP_CC.ipynb | 4 KB | |
GCP_CC_TPU_Pod_Slice_JAX.ipynb | 5.8 KB | |
Superimport.ipynb | 194.6 KB | |
Superimport_broken.ipynb | 186.2 KB | |
activation_fun_deriv_torch.ipynb | 66.7 KB | |
ae_mnist_mlp.ipynb | 1.1 MB | |
agglom_demo.ipynb | 39 KB | |
asia_pgm.ipynb | 52.9 KB | |
bayes_tails.ipynb | 181.4 KB | |
beta_binom_approx_post_pymc.ipynb | 243.8 KB | |
bnn_hierarchical_dist_shift_blackjax.ipynb | 494.8 KB | |
bnn_hierarchical_orginal_numpyro.ipynb | 1.3 MB | |
bnn_hmc_gaussian.ipynb | 122.2 KB | |
bnn_mnist_sgld_jaxbayes.ipynb | 229.4 KB | |
bnn_mnist_sgld_whitejax.ipynb | 218.3 KB | |
casino_hmm.ipynb | 90.3 KB | |
casino_hmm.py | 4.2 KB | |
casino_hmm_training_graphviz.ipynb | 172.4 KB | |
celeba_lightning.ipynb | 1.5 MB | |
celeba_viz.ipynb | 170.1 KB | |
cifar10_cnn_jax_lightning.ipynb | 24.2 MB | |
cifar10_cnn_lightning_tpu.ipynb | 24.3 MB | |
clip_imagenette_demo.ipynb | 9.3 MB | |
clip_imagenette_make_dataset_pytorch.ipynb | 1 MB | |
clip_make_dataset_tpu_jax.ipynb | 104.9 KB | |
clustering_gmm.ipynb | 31.7 KB | |
cmyk-magic.ipynb | 15 KB | |
cond_bmm_emnist.ipynb | 6.6 MB | |
convert_image_formats.ipynb | 17.5 KB | |
dcgan_celeba_lightning.ipynb | 1 MB | |
dcgan_fashion_tf.ipynb | 243.7 KB | |
dp_mixgauss_cluster.ipynb | 3.6 KB | |
dp_mixgauss_forward.ipynb | 2.5 KB | |
dp_mixgauss_forward_truncat.ipynb | 123.4 KB | |
dp_mixgauss_pos_truncat.ipynb | 75.2 KB | |
dp_mixgauss_sample.ipynb | 3.3 KB | |
dp_mixgauss_truncated.ipynb | 163.1 KB | |
dpm_sample_demo.ipynb | 3.2 KB | |
dropout_MLP_torch.ipynb | 185.5 KB | |
early_stopping_tensorboard_tf.ipynb | 24.1 MB | |
elegy_intro.ipynb | 455.2 KB | |
funnel_pymc3.ipynb | 383.2 KB | |
gan_compare_results.ipynb | 1 MB | |
gan_mlp_mnist_pl.ipynb | 24.1 MB | |
gan_mlp_mnist_pytorch_lightning.ipynb | 24.2 MB | |
gan_mog_mode_hopping.ipynb | 109.6 KB | |
gan_tricks.ipynb | 92.5 KB | |
gaussian_param_inf_1d_numpyro.ipynb | 822.4 KB | |
hilbert_space_gp_birthdays_numpyro.ipynb | 205.4 KB | |