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generative-modelling

Here are 15 public repositories matching this topic...

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

  • Updated Feb 9, 2022
  • Python

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

  • Updated May 30, 2025
  • Python

[TPAMI 2025] Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition

  • Updated May 25, 2025
  • Python

Pytorch Implementation of MD4: Simplified and Generalized Masked Diffusion for Discrete Data

  • Updated Feb 5, 2025
  • Python

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

  • Updated Jul 8, 2022
  • Jupyter Notebook

A comprehensive media content authenticity toolkit for verifying audio, video, and imagery through AI, watermarking and metadata analysis.

  • Updated Jun 22, 2026
  • Python

Course materials for module on modelling networks. John McLevey. 2024. Introduction to Computational Social Science with Python. GESIS Fall Seminar in Computational Social Science.

  • Updated Sep 5, 2024
  • Python

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

  • Updated Jan 24, 2023
  • Python

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

  • Updated Oct 11, 2021
  • Python

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.

  • Updated Aug 1, 2023
  • Python

Home page of the QuDOS group led by Oleksandr Kyriienko

  • Updated Oct 21, 2025
  • HTML

Implementation of a generative jump-diffusion model

  • Updated Feb 6, 2026
  • Wolfram Language

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

  • Updated Apr 24, 2024
  • Jupyter Notebook

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

  • Updated Jul 6, 2023
  • Python

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

  • Updated Dec 21, 2022
  • R

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