florencejt

DomAdapt_BrainNetFusion

Code to our Nature Communication Publication 'Domain adapted brain network fusion captures variance related to pubertal brain development and mental health'

PathomicFusion

Fusing Histology and Genomics via Deep Learning - IEEE TMI

PyTextureAnalysis

PyTextureAnalysis is a Python package for analyzing the texture of images. It includes functions for calculating local orientation, degree of coherence, and structure tensor of an image. This package is built using NumPy, SciPy and OpenCV.

ADDFormer

Addformer: Alzheimer’s disease detection from structural mri using fusion transformer

ensemble_imbalance_model_for_als_prognosis

Ensemble-Imbalance model for ALS Prognosis

NSCLC-multimodal-classification

Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion - BMC Bioinformatics

bereal-gdpr-photo-toolkit

Process BeReal photos received from a GDPR-request

FriendsDontLetFriends

Friends don't let friends make certain types of data visualization - What are they and why are they bad.

turing-roche-documentation

christiandepodesta.github.io

polaffini

notero

A Zotero plugin for syncing items and notes into Notion

insanely-fast-whisper

pooch

A friend to fetch your data files

automatic-quality-control

Official Implementation of "An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training"

lsmt

fusilli

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 🌸

proxtorch

An efficient GPU-compatible library built on PyTorch, offering a wide range of proximal operators and constraints for optimization and machine learning tasks.

cca_zoo

Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework

multi-view-AE

Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.

mcvae

Multi-Channel Variational Auto Encoder: A Bayesian Deep Learning Framework for Modeling High-Dimensional Heterogeneous Data.