generative-modelling

There are 12 repositories under generative-modelling topic.

  • autonomousvision/giraffe

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

    Language:Python1.2k2158155

  • bronemos/view-fusion

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

    Language:Python34132

  • darioShar/pytorch-md4

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

    Language:Python810

  • synthesized-io/synthesized-notebooks

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

    Language:Jupyter Notebook7702

  • ConnorWatts/time-gebm

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

    Language:Python3100

  • gesis24csspy/modelling-networks

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

    Language:Python3105

  • shadowbourne/pegasus-lightweight-gan

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

    Language:Python2100

  • pjborowiecki/COMP3547-Deep-Learning

    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.

    Language:Python1100

  • alexaoh/project

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

    Language:R0100

  • AleZonta/genfae

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

    Language:Python0100

  • ColeLab/DirectedActflow_release

    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

    Language:Jupyter Notebook0301

  • kyriienko/kyriienko.github.io

    Home page of the QuDOS group led by Oleksandr Kyriienko

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