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Conor Hassan

I'm a PhD candidate at Queensland University of Technology (QUT) with a focus on Bayesian federated learning, deep generative modeling, and probabilistic machine learning. Currently I am interning with the International Machine Learning team at Amazon in Melbourne, Australia.

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Conor Hassan's Projects

blackjax-vi-fork icon blackjax-vi-fork

BlackJAX is a sampling library designed for ease of use, speed and modularity.

fastbook icon fastbook

The fastai book, published as Jupyter Notebooks

flower icon flower

Flower: A Friendly Federated Learning Framework

gsoc icon gsoc

NumFOCUS Google Summer of Code Materials

gsoc2022 icon gsoc2022

Notebooks for work product submission of GSoC

latex-templates icon latex-templates

A collection of LaTeX templates used for research, courses, and miscellanea.

pymc icon pymc

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

pymc-examples icon pymc-examples

Examples of PyMC models, including a library of Jupyter notebooks.

pyprobml icon pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

substrafl icon substrafl

A high-level federated learning Python library used to run complex federated learning experiments at scale on a Substra network

vbll icon vbll

Simple (and cheap!) neural network uncertainty estimation

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