Git Product home page Git Product logo

florencejt / fusilli Goto Github PK

View Code? Open in Web Editor NEW
154.0 154.0 13.0 1011.02 MB

A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered ๐ŸŒธ

Home Page: https://fusilli.readthedocs.io/en/latest/

License: GNU Affero General Public License v3.0

Python 100.00%
attention-mechanism cnn data-fusion graph-neural-network imaging machine-learning multi-view multi-view-learning multimodal multimodal-deep-learning multimodality multivariate-analysis pytorch pytorch-lightning variational-autoencoder

fusilli's Introduction

Florence Townend

Twitter LinkedIn Google Scholar Email

Iโ€™m a PhD student at University College London working on AI applied to healthcare.

Specificially my project is: AI-powered multi-modal data fusion for Motor Neurone Disease prognosis

You can reach me on twitter at @florencetownend and by email [email protected]

๐Ÿ““ Whatโ€™s on my GitHub?

  • ๐ŸŒธ Fusilli ๐ŸŒธ
  • Notebooks exploring ML applied to public healthcare datasets
  • Projects from my undergraduate degree in Engineering Mathematics from University of Bristol

๐Ÿ—ฃ๏ธ Languages

  • Python: PyTorch, pandas, numpy, etc
  • MySQL
  • MATLAB
  • C

๐ŸŒ€ Methods

  • Deep learning (CNNs, attention mechanisms, VAEs, GANs)
  • Traditional ML (SVM, RF)
  • Neuroimaging preprocessing

fusilli's People

Contributors

florencejt avatar paddyroddy avatar phiphi0815 avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar

fusilli's Issues

Extending and generalising to other modalities

Discussed in #20

Originally posted by mdkozlowski January 14, 2024
Hi,
For my usecases I'm interested in some additional modalities that aren't currently supported in fusili, such as graph-structured data (as inputs) and text data. Fusion of multiple modalities on a graph input (such as tabular + textual features, per-node) is specifically interesting. On the other hand, my usecase doesn't make use of images or image models.

If it makes sense and depending on interest, I'd be happy to contribute these kinds of models to the project.

At the moment the dataloaders and data classes are quite specific to combinations of tabular & images. Do you see any value in making the the data classes more generic? For example, removing dependencies on image_downsample_size in TrainTestDataModule, and using naming in the project like embedding or dense_representation - agnostic to the embedding modality.

IR and RGB image Fusion

I want to do a thermal and RGB image fusion to feed to another network, can I do it with this library? Kindly provide any examples

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.