Tony Duan

normalizing-flows. Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.

mixture-density-network. Mixture density network implemented in PyTorch.

matrix-completion. Lightweight Python library for in-memory matrix completion.

diffusion. From-scratch diffusion model implemented in PyTorch.

rs4a. Randomized Smoothing of All Shapes and Sizes (ICML 2020).

snn. Self-normalizing neural network implemented in PyTorch.

transformer-blocks. Multi-Head Attention, Transformer, Perceiver, Linear Attention.

conjugate-bayes. Conjugate Bayesian linear regression and distribution models in Python.

hte-prediction-rcts. Predicting treatment effects from RCTs (Circulation: CQO 2019).

ge-vae. Graph Embedding VAE (NeurIPS 2019 Workshop on Graph Representations).

gp-lib. Lightweight Python library for (sparse) GP regression.

variational-autoencoders. Variational autoencoder implemented in PyTorch. Derives the ELBO, Log-Derivative trick, Reparameterization trick.

graph-embeddings. Methods for embedding the structure of graphs into node features.

glm-lib. Lightweight Python library for GLM regression.

maskformer. Maskformer (Per-Pixel Classification is Not All You Need) in PyTorch.

retinanet-detection. Single-shot CNN object detection with RetinaNet in PyTorch.

dotfiles. Personal dotfiles and logs of installed packages.

clj-yahoo-boss. Clojure client for the Yahoo BOSS Search API.

paper-template. Blank starter LaTeX code for writing papers and slides.