andymiller

FeatureBasedAlignment

Registration for point clouds

ReducedVarianceReparamGradients

Reducing Reparameterization Gradient Variance code.

pydtw

A python/numpy/cython implementation of dynamic time warping (DTW) for aligning time series.

vboost

code supplement for variational boosting (https://arxiv.org/abs/1611.06585)

vae-flow

Amortized variational inference with tensorflow.

theanograd

Hooking theano gradients into autograd

DR-VAE

pytorch code for discriminatively regularized variational autoencoders

cvg_scripts

PyNIC

Nonparametric Information Theoretic Clustering

NormFlows

Simple normalizing flows example using autograd

CelestePy

Probabilistic modeling and bayesian inference of astronomical sources

pyro-mini-tutorial

autograd

Efficiently computes derivatives of numpy code.

dots

My dotfiles

ekg-risk-models

Code for for fitting EKG-based risk predictors.

flecks

nonparametric modeling of point processes

GPy

Gaussian processes framework in python

pybasicbayes

StampBuilder

Builds small image patches of SDSS data. Organizes corresponding spectra.

svae

code for Structured Variational Autoencoders