bjlkeng / Sandbox
Licence: mit
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Sandbox
A random collection of things I'm experimenting with, usually in the form of notebooks.
Some blog posts relating to things in here:
-
notebooks/variational-autoencoder.ipynb
: http://bjlkeng.github.io/posts/variational-autoencoders/ -
notebooks/variational_autoencoder-svhn
: http://bjlkeng.github.io/posts/a-variational-autoencoder-on-the-svnh-dataset/ -
notebooks/vae-semi_supervised_learning
: http://bjlkeng.github.io/posts/semi-supervised-learning-with-variational-autoencoders/ -
notebooks/vae-inverse_autoregressive_flows
: http://bjlkeng.github.io/posts/variational-autoencoders-with-inverse-autoregressive-flows/ -
notebooks/masked_autoencoders
: http://bjlkeng.github.io/posts/autoregressive-autoencoders/ -
notebooks/label_refinery
: http://bjlkeng.github.io/posts/label-refinery/ -
notebooks/vae-resnet
: http://bjlkeng.github.io/posts/residual-networks/ -
notebooks/universal_resnet
: http://bjlkeng.github.io/posts/universal-resnet-the-one-neuron-approximator/ -
notebooks/vae-importance_sampling
: http://bjlkeng.github.io/posts/importance-sampling-and-estimating-marginal-likelihood-in-variational-autoencoders/ -
notebooks/pixel_cnn
: http://bjlkeng.github.io/posts/pixelcnn/ -
ans
: https://bjlkeng.github.io/posts/lossless-compression-with-asymmetric-numeral-systems/
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