i6092467/NNGC-SLIMMBA

Stars
13
Rank 1,512,713 (Top 30 %)
Language
Python
Created over 4 years ago
Updated about 3 years ago

i6092467/NNGC-SLIMMBA

i6092467

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Nonlinear Granger causality inference with neural networks for high-resolution mass spectrometry

GVAR

An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.

vadesc

A probabilistic model to cluster survival data in a variational deep clustering setting

Jupyter Notebook

pediatric-appendicitis-ml

Using ML to predict the diagnosis, management, and severity of pediatric appendicitis

diff-bias-proxies

Pruning and fine-tuning for debiasing an already-trained neural network with applications to deep chest X-ray classifiers

semi-supervised-multiview-cbm

Concept bottleneck models for multiview data with incomplete concept sets

pediatric-appendicitis-ml-ext

External validation of predictive models for the diagnosis, management, and severity in pediatric patients with suspected appendicitis

Jupyter Notebook

t-cells-response-sars-cov-2

Code and data for the ML analysis of humoral and cellular responses to SARS-CoV-2

Jupyter Notebook