plai-group/scmc

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plai-group/scmc

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Sequential Core-Set Monte Carlo

flexible-video-diffusion-modeling

gae_in_pytorch

Graph Auto-Encoder in PyTorch

daphne

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

covid

Modelling epidemiological dynamics and performing inference in these models

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

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