This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"

Official implementation of ViewFusion: Learning Composable Diffusion Models for Novel View Synthesis

Discover the art of enhancing your data using generative modelling in these notebooks.

Two Generalized Energy Based Models for time-series generation. Thesis for MSc Computational Statistics and Machine Learning program at UCL.

3rd Year: 1st - 104/100. Generative Modelling: Applying GANs to generate out-of-sample inter-class images - "The Mythical Pegasus: A Mysterious Journey".

This repository contains my final submission for the COMP3547 Deep Learning module assignment at Durham University in the academic year 2022/2023. The project focuses on diffusion-based models and their application in synthesising new, unique images, which could plausibly come from a training data set. Final grade received was 71/100.

Home page of the QuDOS group led by Oleksandr Kyriienko

Repository for Sanchez-Romero, R., Ito, T., Mill, R. D., Hanson, S. J., & Cole, M. W. (2023). "Causally informed activity flow models provide mechanistic insight into network-generated cognitive activations". NeuroImage, 120300. https://doi.org/10.1016/j.neuroimage.2023.120300

PyTorch implementation for the framework presented in the paper: Generative Fourier-based Auto-Encoders: Preliminary Results paper

[Autumn 2022] Specialization project leading up to main thesis in MSc Applied Physics and Mathematics at NTNU.