plai-group/covid

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Python
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Created over 4 years ago
Updated over 3 years ago

plai-group/covid

plai-group

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Modelling epidemiological dynamics and performing inference in these models

flexible-video-diffusion-modeling

gae_in_pytorch

Graph Auto-Encoder in PyTorch

daphne

Code for first-order probabilistic programming to continuous normalizing flow compiler.

tvo

Code for the Thermodynamic Variational Objective

Jupyter Notebook

gsdm

Graphically structured diffusion model.

ipa

tvo_all_in

a2d

Code accompanying the paper Robust Asymmetric Learning in POMDPs

Jupyter Notebook

tvo_playground

clean tvo code to begin new research

ccfs-python

Canonical Correlation Forests (CCFs)

bayes-non-parametric-tutorial

An interactive introduction to bayesian non-parametrics

ml_project_skeleton

Lightweight project skeleton for machine learning projects using wandb and sacred

bayes-pcn

vcdm

Code release for Visual Chain-of-Thought Diffusion Models

cluster_scripts

scripts for working on the cluster

machine_learning_helpers

repository of maintained python scripts to be imported across projects

manifesto

PLAI Group Manifesto and FAQ

scmc

Sequential Core-Set Monte Carlo

bibliography

Repository of PLAI Group publications, presentations and posters

qpaths_uai_2021

Jupyter Notebook

ubc_primitives

TA1-primitives of UBC for D3M

canvas_grading_tools

Tools to push and pull grades from canvas

Jupyter Notebook

q_paths

Code for "Annealed Importance Sampling with q-Paths"

Jupyter Notebook