A practical workshop to how large language model systems work, and how to get up and running quickly.

How to work with Docker to make your code reproducible

Materials of the Nordic Probabilistic AI School 2023.

Code for the experiments of the ICML 2021 Interpretability workshop paper "This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks"

On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks

CNS (Computational Neuroscience) Lab project for age/sex classification of fMRI scans

A LaTeX document class that conforms to the Computer Laboratory's PhD thesis formatting guidelines.

Evaluation code for using probabilistic detection quality (PDQ) measure for probabilistic object detection tasks. Currently supports COCO and robotic vision challenge (RVC) data.

YOLOv3 in PyTorch > ONNX > CoreML > iOS

A LaTeX class to format replies to the reviewers of journal paper submissions

PyTorch implementation of the paper Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis

COCO API - Dataset @ http://cocodataset.org/

Geometric Deep Learning Extension Library for PyTorch

Training and evaluating a variational autoencoder for pan-cancer gene expression data

A curated list of awesome network analysis resources.