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compiled-inference

Train neural networks to use as SMC and importance sampling proposals

cvae

github for "Molecular generative model based on conditional variational autoencoder for de novo molecular design"

gorilla-repl

A rich REPL for Clojure in the notebook style.

intro-stan-python

Notebooks with introductory material on using Stan, from Python

ml4molecules.github.io

molecule-autoencoder

A project to enable optimization of molecules by transforming them to and from a continuous representation.

molecule_grammar_rnn

Code for paper 'Learning a Generative Model for Validity in Complex Discrete Structures'

multilayergm-py

A Python framework for generating multilayer networks with planted mesoscale structure.

mutual-information-mnist

Conditional / semi-supervised VAEs on the "Morpho-MNIST" dataset

probtorch

Probabilistic Torch is library for deep generative models that extends PyTorch

pyro

Deep universal probabilistic programming with Python and PyTorch

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

rff-reservoir

Better reservoir sampling, using random Fourier features

sbo_pyro

A repository for prototyping structured bayesian optimisation approach with Pyro

tbrx.github.io

ucl-letter

UCL latex letter template

v108

Proceedings of AISTATS 2020