Pinned Repositories
cvg_scripts
DR-VAE
pytorch code for discriminatively regularized variational autoencoders
FeatureBasedAlignment
Registration for point clouds
NormFlows
Simple normalizing flows example using autograd
pydtw
A python/numpy/cython implementation of dynamic time warping (DTW) for aligning time series.
PyNIC
Nonparametric Information Theoretic Clustering
ReducedVarianceReparamGradients
Reducing Reparameterization Gradient Variance code.
theanograd
Hooking theano gradients into autograd
vae-flow
Amortized variational inference with tensorflow.
vboost
code supplement for variational boosting (https://arxiv.org/abs/1611.06585)
andymiller's Repositories
andymiller/FeatureBasedAlignment
Registration for point clouds
andymiller/ReducedVarianceReparamGradients
Reducing Reparameterization Gradient Variance code.
andymiller/pydtw
A python/numpy/cython implementation of dynamic time warping (DTW) for aligning time series.
andymiller/vboost
code supplement for variational boosting (https://arxiv.org/abs/1611.06585)
andymiller/vae-flow
Amortized variational inference with tensorflow.
andymiller/theanograd
Hooking theano gradients into autograd
andymiller/DR-VAE
pytorch code for discriminatively regularized variational autoencoders
andymiller/cvg_scripts
andymiller/PyNIC
Nonparametric Information Theoretic Clustering
andymiller/NormFlows
Simple normalizing flows example using autograd
andymiller/CelestePy
Probabilistic modeling and bayesian inference of astronomical sources
andymiller/pyro-mini-tutorial
andymiller/autograd
Efficiently computes derivatives of numpy code.
andymiller/dots
My dotfiles
andymiller/ekg-risk-models
Code for for fitting EKG-based risk predictors.
andymiller/flecks
nonparametric modeling of point processes
andymiller/GPy
Gaussian processes framework in python
andymiller/pybasicbayes
andymiller/StampBuilder
Builds small image patches of SDSS data. Organizes corresponding spectra.
andymiller/svae
code for Structured Variational Autoencoders