stefanwebb Goto Github PK

autoguides

Experiments for our work-in-progress, "Improving Automated Variational Inference with Normalizing Flows."

cumulativenet

The code for my Honours thesis (http://arxiv.org/abs/1310.4456) on cumulative distribution networks.

dphil-thesis-final

My DPhil thesis at the University of Oxford, "Neural Networks for Inference, Inference for Neural Networks."

flowtorch

This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a community of users and contributors by focusing initially on complete infra and documentation for how to use and create components.

flowtorch-new

Redesigning FlowTorch and goal to reach v1.0.0.

flowtorch-old

Separating Normalizing Flows code from Pyro and improving API

metainit

Implementation of MetaInit algorithm for learning a good neural network initialization.

neuralpp

pyro

Deep universal probabilistic programming with Python and PyTorch

pyro-models

Repository of models in Pyro

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

wasm_tdg

wiktionary-latin

Producing a derivative work from Wiktionary for use in an online Latin dictionary