Skip to content
#

model-stability

Star

Here are 2 public repositories matching this topic...

B0scos / Financial-Funds-Clustering

Star 3

A Python pipeline for segmenting financial assets using unsupervised learning models like K-Means and GMM. This project evaluates clustering configurations not only on performance (Silhouette Score) but also on their statistical stability across train, test, and validation sets using the Wasserstein distance.

python machine-learning unsupervised-learning clustering-evaluation time-series-segmentation financial-clustering model-stability
  • Updated Jan 5, 2026
  • Python

dyneth02 / Wasserstein-GANs-Research-Analysis-and-Novel-Insights

Star 1

A collaborative mini-research project analyzing Wasserstein GANs (WGANs) through extensive literature review and experimental evaluation. Explores training stability, loss behavior, gradient penalties, and convergence characteristics, proposing insights to improve generative model robustness.

machine-learning research ai deep-learning pytorch gan neural-networks representation-learning unsupervised-learning wgan generative-models gradient-penalty ai-research wasserstein-distance theoretical-ml model-stability
  • Updated Jan 4, 2026

Improve this page

Add a description, image, and links to the model-stability topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the model-stability topic, visit your repo's landing page and select "manage topics."

Learn more